Triple
T9523772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Women’s Amateur Championship |
E229708
|
entity |
| Predicate | numberOfQualifyingRounds |
P12110
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [The Women’s Amateur Championship, numberOfQualifyingRounds, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfQualifyingRounds Context triple: [The Women’s Amateur Championship, numberOfQualifyingRounds, 2]
-
A.
hasQualifyingRounds
chosen
Indicates that an event or competition includes preliminary qualifying rounds that participants must complete before advancing further.
-
B.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
-
C.
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.
-
D.
playoffQualification
Indicates that an entity has secured a position to participate in a postseason playoff competition based on qualifying criteria.
-
E.
usedForPlayoffQualification
Indicates that something serves as a basis or criterion for determining whether a team qualifies for the playoffs.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9898e0b48190a3e3f0f1616d5055 |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:59 p.m.