Triple
T15962712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Tunis |
E387101
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UT |
E387101
|
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 Tunis, abbreviation, UT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UT Context triple: [University of Tunis, abbreviation, UT]
-
A.
UT
UT is the IATA airline designator assigned to UTair Aviation, a Russian airline.
-
B.
UT
chosen
UT is the common abbreviation for the University of Tunis, a major public university in Tunisia’s capital city.
-
C.
UT
UT is the official two-letter United States Postal Service abbreviation for the state of Utah.
-
D.
UT
UT is the common abbreviation for the University of Tours, a French public university located in the city of Tours.
-
E.
UT
UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157013cfc819099fa83de85273710 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe827d248190adbfd41f55638ebd |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.