Triple
T25673747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 NCAA Division I men's basketball tournament |
E643748
|
entity |
| Predicate | openingRoundGameLocation |
P68432
|
FINISHED |
| Object | University of Dayton Arena |
—
|
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: University of Dayton Arena | Statement: [2005 NCAA Division I men's basketball tournament, openingRoundGameLocation, University of Dayton Arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingRoundGameLocation Context triple: [2005 NCAA Division I men's basketball tournament, openingRoundGameLocation, University of Dayton Arena]
-
A.
openingRoundGameSite
chosen
Indicates the location or venue where the opening round game of a competition or series is held.
-
B.
openingGameCity
Indicates the city where an opening game or initial match of an event takes place.
-
C.
game1Location
Indicates the physical or virtual place where the first game is held or takes place.
-
D.
Game1Venue
Indicates the venue or location where the first game (Game1) of a series or event is held.
-
E.
game2Venue
Indicates the venue or location where a particular game is held or takes place.
- F. None of above.
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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb3460488190a720fe1f708509f2 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 7:32 p.m.