Triple
T19323604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centerville, Utah |
E483289
|
entity |
| Predicate | hasStateAbbreviation |
P2461
|
FINISHED |
| Object | UT |
—
|
NE NERFINISHED |
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: [Centerville, Utah, hasStateAbbreviation, UT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UT Context triple: [Centerville, Utah, hasStateAbbreviation, UT]
-
A.
UT
UT is the IATA airline designator assigned to UTair Aviation, a Russian airline.
-
B.
UT
UT is the common abbreviation for the University of Tunis, a major public university in Tunisia’s capital city.
-
C.
UT
chosen
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 a major public research university in Austin, Texas, known for its strong academic programs, large student body, and prominent Longhorns athletics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8a07508190a2e5f8972d1efba0 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.