Triple
T27885592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reversi |
E705213
|
entity |
| Predicate | hasWinnerDefinition |
P158834
|
FINISHED |
| Object | player with more discs of their color wins |
—
|
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: player with more discs of their color wins | Statement: [Reversi, hasWinnerDefinition, player with more discs of their color wins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinnerDefinition Context triple: [Reversi, hasWinnerDefinition, player with more discs of their color wins]
-
A.
hasWinnerType
Indicates that an entity has a specific type or category of winner associated with it.
-
B.
hasWinningCondition
chosen
Indicates that a particular condition or set of conditions determines when a participant, entity, or process is considered to have won or successfully completed a defined objective.
-
C.
hasWinners
Indicates that an event, competition, or context has one or more entities designated as winners.
-
D.
gameWinner
Indicates which participant or team has won a particular game or match.
-
E.
hasWinningScore
Indicates that one entity possesses a score that is sufficient to win in a given competition, game, or scoring context.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 6:32 p.m.