Triple
T19176159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Elite Wrestling |
E469441
|
entity |
| Predicate | hasWomenDivision |
P49314
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [All Elite Wrestling, hasWomenDivision, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWomenDivision Context triple: [All Elite Wrestling, hasWomenDivision, yes]
-
A.
hasFemaleCompetitors
Indicates that an entity participates in a competitive context where at least some of the competitors are female.
-
B.
hasGenderDivisions
chosen
Indicates that something is organized, classified, or separated into groups based on gender.
-
C.
hasWomenRace
Indicates that an entity includes, organizes, or is associated with a race event specifically for women.
-
D.
otherSportsDivision
Indicates that an entity competes in, belongs to, or is associated with a different sports division than another referenced entity.
-
E.
hasGenderedTeams
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6181f0c8190b344072db0b7abbb |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.