Triple
T10970279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA Grand Slam |
E259214
|
entity |
| Predicate | rankingPointsLevel |
P26152
|
FINISHED |
| Object | highest on WTA Tour |
—
|
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: highest on WTA Tour | Statement: [WTA Grand Slam, rankingPointsLevel, highest on WTA Tour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingPointsLevel Context triple: [WTA Grand Slam, rankingPointsLevel, highest on WTA Tour]
-
A.
rankingPoints
chosen
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
B.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
C.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
D.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
E.
hasRankLevels
Indicates that an entity is associated with one or more hierarchical rank levels within a ranking or grading 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77198e5408190904b2bb603d1bc16 |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.