Triple
T8388382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA 250 tournaments |
E197877
|
entity |
| Predicate | rankingPointsForRoundOf32 |
P81798
|
FINISHED |
| Object | 1 ranking point |
—
|
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: 1 ranking point | Statement: [WTA 250 tournaments, rankingPointsForRoundOf32, 1 ranking point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingPointsForRoundOf32 Context triple: [WTA 250 tournaments, rankingPointsForRoundOf32, 1 ranking point]
-
A.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
-
B.
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.
-
C.
WorldCupThirdPlacePlayoffScore
Indicates the final score of the third-place playoff match in a FIFA World Cup tournament, showing how many goals each competing team scored.
-
D.
playoffRound
Indicates the specific stage or round within a playoff series in which a game, matchup, or event takes place.
-
E.
playoffSeed
Indicates the ranking or position a team or player holds in a playoff bracket based on their performance or qualification criteria.
- 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.