Triple
T22056407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Flair vs. Asuka |
E545022
|
entity |
| Predicate | isWomenMainEventLevel |
P48260
|
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: [Charlotte Flair vs. Asuka, isWomenMainEventLevel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWomenMainEventLevel Context triple: [Charlotte Flair vs. Asuka, isWomenMainEventLevel, true]
-
A.
womenMainEventParticipants
chosen
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
B.
hasFemaleCompetitors
Indicates that an entity participates in a competitive context where at least some of the competitors are female.
-
C.
eventsForWomen
Indicates that the associated events are intended for, targeted at, or specifically involve women.
-
D.
hasWomenChampionship
Indicates that an entity organizes, hosts, or is associated with a championship specifically for women.
-
E.
conferenceWomen'sTennis
Indicates a conference-level women's tennis competition or affiliation between teams or institutions.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128588e0081909056ac8251afe935 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.