Triple
T8047973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Tehran |
E187601
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | UT |
E187601
|
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: UT | Statement: [University of Tehran, nickname, UT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UT Context triple: [University of Tehran, nickname, UT]
-
A.
UT
chosen
UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
-
B.
UT
UT is a major public research university in Austin, Texas, known for its strong academic programs, large student body, and prominent Longhorns athletics.
-
C.
UT
UT is the common abbreviation for the University of Tunis, a major public university in Tunisia’s capital city.
-
D.
UT
UT is the standard abbreviation for the University of Tirana, a major public university located in Albania’s capital city.
-
E.
UT
UT is the IATA airline designator assigned to UTair Aviation, a Russian airline.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7711f48190af2002533c2e426a |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63d03c9481909ccddd9580216506 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:24 p.m.