Triple
T8528461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aalborg |
E201878
|
entity |
| Predicate | hasUniversity |
P113
|
FINISHED |
| Object | Aalborg University |
E710327
|
NE FINISHED |
How this triple was built (2 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: Aalborg University | Statement: [Aalborg, hasUniversity, Aalborg University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aalborg University Context triple: [Aalborg, hasUniversity, Aalborg University]
-
A.
Aalborg University
chosen
Aalborg University is a Danish public research university known for its problem-based learning approach and campuses in Aalborg and other cities in Denmark.
-
B.
Aarhus University
Aarhus University is a major Danish public research university recognized for its strong international profile and membership in leading European academic networks.
-
C.
University of Southern Denmark
The University of Southern Denmark is a major Danish public research university with multiple campuses, known for its strong international orientation and broad range of academic programs.
-
D.
University of Copenhagen
The University of Copenhagen is Denmark’s oldest and largest university, renowned internationally for its research-intensive programs and broad range of academic disciplines.
-
E.
Technical University of Denmark
The Technical University of Denmark is a leading Danish engineering and technology university known for its strong research output and industry collaboration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe672e0588190a84328e1bf974f08 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce890333d08190b510d970e6d6fee5 |
completed | April 2, 2026, 3:19 p.m. |
Created at: March 30, 2026, 6:17 p.m.