Triple
T1696608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amirkabir University of Technology |
E36671
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
AUT
AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
|
E191850
|
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: AUT | Statement: [Amirkabir University of Technology, shortName, AUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUT Context triple: [Amirkabir University of Technology, shortName, AUT]
-
A.
Ath
Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
-
B.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
C.
AW
AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
-
D.
ARS
ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
-
E.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
- 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: AUT Triple: [Amirkabir University of Technology, shortName, AUT]
Generated description
AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AUT Target entity description: AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
-
A.
Ath
Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
-
B.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
C.
AW
AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
-
D.
ARS
ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
-
E.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b78d20819096f0602058c46d8a |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad799ad838819087e945f47284a3b0 |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad81f90e948190b83078523b1cf3f8 |
completed | March 8, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad82755910819087aa9940dc1e7495 |
completed | March 8, 2026, 2:06 p.m. |
Created at: March 4, 2026, 7:30 p.m.