Triple
T19840617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBA games |
E476715
|
entity |
| Predicate | officialsPerGame |
P67611
|
FINISHED |
| Object | 3 referees |
—
|
LITERAL 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: 3 referees | Statement: [WNBA games, officialsPerGame, 3 referees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialsPerGame Context triple: [WNBA games, officialsPerGame, 3 referees]
-
A.
numberOfOfficials
chosen
Indicates the total count of officials associated with a given entity or context.
-
B.
teamCountPerGame
Indicates the number of teams that participate in a single game or match.
-
C.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
-
D.
pointsPerGame
Indicates the average number of points an entity scores per game over a given set of games.
-
E.
topAssistsAssistsPerGame
Indicates that the subject ranks among the top performers in terms of average assists made per game.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580576748190b85e234b01209ae7 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.