Triple
T8388381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA 250 tournaments |
E197877
|
entity |
| Predicate | rankingPointsForRoundOf16 |
P81797
|
FINISHED |
| Object | 30 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: 30 ranking points | Statement: [WTA 250 tournaments, rankingPointsForRoundOf16, 30 ranking points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingPointsForRoundOf16 Context triple: [WTA 250 tournaments, rankingPointsForRoundOf16, 30 ranking points]
-
A.
qualifiedForRoundOf16
Indicates that an entity has successfully met the criteria or performance requirements to advance into the round of 16 in a competition or tournament.
-
B.
establishedAsRoundOf64
Indicates that an event, match, or competition stage has been designated as part of the Round of 64 in a tournament structure.
-
C.
playoffRound
Indicates the specific stage or round within a playoff series in which a game, matchup, or event takes place.
-
D.
topSeedByeToSemifinals
Indicates that the top-seeded participant automatically advances directly to the semifinals without playing earlier rounds.
-
E.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:03 p.m.