Triple
T24971073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATP 500 |
E624890
|
entity |
| Predicate | rankingPointsForSinglesChampion |
P157861
|
FINISHED |
| Object | 500 |
—
|
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: 500 | Statement: [ATP 500, rankingPointsForSinglesChampion, 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingPointsForSinglesChampion Context triple: [ATP 500, rankingPointsForSinglesChampion, 500]
-
A.
rankingPointsSinglesChampion
chosen
Indicates the number of ranking points awarded to an entity for winning a singles championship.
-
B.
rankingPointsSinglesFinalist
Indicates the number of ranking points awarded to a player for reaching the final (but not necessarily winning) in a singles competition.
-
C.
rankingPointsSinglesQuarterfinalist
Indicates that an entity receives or is associated with ranking points specifically for reaching the singles quarterfinal round in a competition or tournament.
-
D.
rankingPointsSinglesSemifinalist
Indicates that an entity receives ranking points for reaching the semifinals in a singles competition.
-
E.
highestSinglesRanking
Indicates the relationship where a specific singles ranking represents the best (numerically highest) singles position an entity has ever achieved.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 18, 2026, 6:01 a.m.