Triple
T8388456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA Elite Trophy |
E197878
|
entity |
| Predicate | hasSinglesChampionEachYear |
P71853
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [WTA Elite Trophy, hasSinglesChampionEachYear, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSinglesChampionEachYear Context triple: [WTA Elite Trophy, hasSinglesChampionEachYear, true]
-
A.
hasWinnerEverySeason
chosen
Indicates that for every season in consideration, there exists a winner associated with that season.
-
B.
hasMultipleMedalsPerYear
Indicates that an entity has been awarded more than one medal within the same calendar year.
-
C.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
-
D.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
E.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81090f688190a3a8d1680383c361 |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:03 p.m.