Triple
T38435837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003 WNBA Finals |
E903938
|
entity |
| Predicate | cityOfDecisiveGame |
P6418
|
FINISHED |
| Object | Auburn Hills, Michigan |
—
|
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: Auburn Hills, Michigan | Statement: [2003 WNBA Finals, cityOfDecisiveGame, Auburn Hills, Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfDecisiveGame Context triple: [2003 WNBA Finals, cityOfDecisiveGame, Auburn Hills, Michigan]
-
A.
decidingGameCity
chosen
Indicates the city where the decisive or final game of a series, match, or competition takes place.
-
B.
protagonistCity
Indicates the city in which the main character or protagonist of a work is primarily based or associated.
-
C.
gameOfTheCenturyCity
Indicates the city where a game known as the "Game of the Century" took place.
-
D.
cityOfGame1And2
Indicates that the referenced city is the location associated with both game 1 and game 2.
-
E.
cityOfGames
Indicates that a location is recognized as a major center or hub for games, gaming activities, or the games industry.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:31 p.m.