Triple
T25969614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 NCAA Division I men's basketball tournament |
E645768
|
entity |
| Predicate | playInRoundLocation |
P15860
|
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: [2019 NCAA Division I men's basketball tournament, playInRoundLocation, University of Dayton Arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playInRoundLocation Context triple: [2019 NCAA Division I men's basketball tournament, playInRoundLocation, University of Dayton Arena]
-
A.
positionInRound
Indicates the specific ordinal place an entity occupies within a given round or sequence of rounds.
-
B.
locationInPlay
Indicates that an entity is currently situated or active within the defined play area or game environment.
-
C.
gameSevenLocation
Indicates the location where the seventh game of a series or matchup takes place.
-
D.
gameLocation
chosen
Indicates the place or venue where a game or match takes place.
-
E.
Game6Location
Indicates the location where the sixth game in a series or sequence 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604cd91088190a2c9ab800dcaec37 |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:50 a.m.