Triple
T35203698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Raw Women’s Championship |
E1016476
|
entity |
| Predicate | inauguralMatchParticipants |
P182598
|
FINISHED |
| Object | Charlotte Flair |
—
|
NE NERFINISHED |
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: Charlotte Flair | Statement: [WWE Raw Women’s Championship, inauguralMatchParticipants, Charlotte Flair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguralMatchParticipants Context triple: [WWE Raw Women’s Championship, inauguralMatchParticipants, Charlotte Flair]
-
A.
firstOfficialMatchTeams
Indicates that the related teams are the ones that participated in the first official match of a given competition, season, or entity.
-
B.
inauguralLeagueMembers
Indicates that the entities were members of a league in its inaugural (first) season or formation.
-
C.
inauguralMLSMatchOpponent
Indicates the opposing team that a given team faced in its first-ever Major League Soccer (MLS) match.
-
D.
inauguralHostNationTeam
Indicates that a team served as the host nation’s representative in the inaugural edition of a given event or competition.
-
E.
inauguralWinnerTeam
Indicates the team that won the very first edition of a given competition 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.