Triple
T8388418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA 250 tournaments |
E197877
|
entity |
| Predicate | pointsFromQualifying |
P81802
|
FINISHED |
| Object | offer ranking points for qualifying rounds |
—
|
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: offer ranking points for qualifying rounds | Statement: [WTA 250 tournaments, pointsFromQualifying, offer ranking points for qualifying rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsFromQualifying Context triple: [WTA 250 tournaments, pointsFromQualifying, offer ranking points for qualifying rounds]
-
A.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
B.
runnerUpQualification
Indicates that an entity attains a qualifying position or status specifically by being a runner-up in a competition or selection process.
-
C.
qualifyingZones
Indicates that certain areas or regions meet specified criteria or conditions required for a particular status, activity, or classification.
-
D.
pointsToWinSet
Indicates the number of points a player or side must win to secure the current set.
-
E.
pointsAfterThreeQuarters
Indicates the number of points an entity has accumulated by the end of the third quarter of a game or event.
- 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.