Triple
T9368520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Amateur Championship |
E225469
|
entity |
| Predicate | governsRankingPoints |
P53495
|
FINISHED |
| Object | World Amateur Golf Ranking points |
—
|
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: World Amateur Golf Ranking points | Statement: [The Amateur Championship, governsRankingPoints, World Amateur Golf Ranking points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsRankingPoints Context triple: [The Amateur Championship, governsRankingPoints, World Amateur Golf Ranking points]
-
A.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
B.
maintainsRanking
Indicates that one entity preserves or keeps another entity’s position or level within a ranking or ordered list.
-
C.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
-
D.
hasRankingFactor
chosen
Indicates that one entity contributes as a factor to determining the ranking or ordered position of another entity.
-
E.
hasRankingAlgorithm
Indicates that an entity uses or is associated with a specific algorithm for ranking or ordering items.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5080f55c8190bd5ca0dc0a4ea989 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.