Triple
T26398270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Super League |
E663631
|
entity |
| Predicate | hasMatchOutcomePointsSystem |
P109882
|
FINISHED |
| Object | three points for a win |
—
|
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: three points for a win | Statement: [Chinese Super League, hasMatchOutcomePointsSystem, three points for a win]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatchOutcomePointsSystem Context triple: [Chinese Super League, hasMatchOutcomePointsSystem, three points for a win]
-
A.
resultOfMatch
Indicates that one entity is the outcome or product produced by a particular match or matching event involving another entity.
-
B.
hasGameOutcomePattern
Indicates a relationship where a game or match is associated with a specific pattern or structure of outcomes (such as sequences of wins, losses, or draws).
-
C.
matchPointsDraw
Indicates that the entities receive or share an equal number of points as a result of a drawn or tied match.
-
D.
hasScoreSystem
Indicates that an entity uses, is governed by, or is associated with a particular scoring or rating system.
-
E.
hasRegularSeasonPointsSystem
chosen
Indicates that there is a defined method or set of rules for awarding and calculating points during the regular season of a competition or league.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 26, 2026, 11:30 p.m.