Triple
T31454507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Women's Team Championships |
E802412
|
entity |
| Predicate | gamePoints |
P49539
|
FINISHED |
| Object | 21-point rally scoring |
—
|
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: 21-point rally scoring | Statement: [World Women's Team Championships, gamePoints, 21-point rally scoring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamePoints Context triple: [World Women's Team Championships, gamePoints, 21-point rally scoring]
-
A.
pointsForWin
Indicates the number of points awarded to an entity for achieving a win in a given context or competition.
-
B.
pointsScored
chosen
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
-
C.
gameWinningScoreBy
Indicates that a particular score is the decisive amount by which a game is won by an entity.
-
D.
ChelseaPoints
Indicates the number of points associated with Chelsea, typically in a competitive or scoring context.
-
E.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:15 p.m.