Triple
T24902729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATP Challenger Tour |
E623622
|
entity |
| Predicate | awardsRankingPoints |
P26152
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [ATP Challenger Tour, awardsRankingPoints, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsRankingPoints Context triple: [ATP Challenger Tour, awardsRankingPoints, yes]
-
A.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
B.
rankingPoints
chosen
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
C.
peakRanking
Indicates the highest position or rank an entity has ever achieved within a specified ranking system or context.
-
D.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
E.
hasRankingCategory
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 5:27 a.m.