Triple
T899892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of North Carolina at Chapel Hill |
E19422
|
entity |
| Predicate | researchClassification |
P3397
|
FINISHED |
| Object |
R1: Doctoral Universities – Very high research activity
R1: Doctoral Universities – Very high research activity is the top Carnegie Classification category for U.S. doctoral institutions recognized for their extensive and intensive research output and doctoral education.
|
E106871
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: R1: Doctoral Universities – Very high research activity | Statement: [University of North Carolina at Chapel Hill, researchClassification, R1: Doctoral Universities – Very high research activity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R1: Doctoral Universities – Very high research activity Context triple: [University of North Carolina at Chapel Hill, researchClassification, R1: Doctoral Universities – Very high research activity]
-
A.
League of European Research Universities
The League of European Research Universities is a consortium of leading research-intensive universities in Europe that collaborates to influence policy and promote high-quality academic research and education.
-
B.
International Alliance of Research Universities
The International Alliance of Research Universities is a global consortium of leading research-intensive universities that collaborate on education, research, and addressing major international challenges.
-
C.
RU11 (Research Universities 11) Japan
RU11 (Research Universities 11) Japan is a consortium of leading Japanese research-intensive universities formed to promote advanced research, innovation, and international competitiveness in higher education.
-
D.
Universities Research Association
Universities Research Association is a consortium of research universities that collaborates to manage and support major scientific facilities and high-energy physics research programs in the United States.
-
E.
Guild of European Research-Intensive Universities
The Guild of European Research-Intensive Universities is a network of leading European universities dedicated to advancing high-quality research, innovation, and influence on European higher education policy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: R1: Doctoral Universities – Very high research activity Triple: [University of North Carolina at Chapel Hill, researchClassification, R1: Doctoral Universities – Very high research activity]
Generated description
R1: Doctoral Universities – Very high research activity is the top Carnegie Classification category for U.S. doctoral institutions recognized for their extensive and intensive research output and doctoral education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R1: Doctoral Universities – Very high research activity Target entity description: R1: Doctoral Universities – Very high research activity is the top Carnegie Classification category for U.S. doctoral institutions recognized for their extensive and intensive research output and doctoral education.
-
A.
League of European Research Universities
The League of European Research Universities is a consortium of leading research-intensive universities in Europe that collaborates to influence policy and promote high-quality academic research and education.
-
B.
International Alliance of Research Universities
The International Alliance of Research Universities is a global consortium of leading research-intensive universities that collaborate on education, research, and addressing major international challenges.
-
C.
RU11 (Research Universities 11) Japan
RU11 (Research Universities 11) Japan is a consortium of leading Japanese research-intensive universities formed to promote advanced research, innovation, and international competitiveness in higher education.
-
D.
Universities Research Association
Universities Research Association is a consortium of research universities that collaborates to manage and support major scientific facilities and high-energy physics research programs in the United States.
-
E.
Guild of European Research-Intensive Universities
The Guild of European Research-Intensive Universities is a network of leading European universities dedicated to advancing high-quality research, innovation, and influence on European higher education policy.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad42ecac81909f8bc554d2fe0363 |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c734e680819098840e9c736b5ead |
completed | March 4, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_69a7c8a3064081908772ee2305bbe3e1 |
completed | March 4, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c8fecaac8190a7b1a1cd2fa98a2d |
completed | March 4, 2026, 5:54 a.m. |
Created at: March 1, 2026, 7:39 p.m.