Triple
T4169647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Fencing Championships |
E84528
|
entity |
| Predicate | coedTeamTitleIntroduced |
P54483
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [NCAA Fencing Championships, coedTeamTitleIntroduced, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coedTeamTitleIntroduced Context triple: [NCAA Fencing Championships, coedTeamTitleIntroduced, 1990]
-
A.
introducedTeam
Indicates that one entity formally presented or brought another entity (a team) to the attention of a third party or context for the first time.
-
B.
foundedAsTeam
Indicates that an organization or club was originally established in the form of a team.
-
C.
hasGenderedTeam
Indicates that a team is organized or classified according to the gender of its members.
-
D.
hasGenderedTeams
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
-
E.
winningTeamFirstTitle
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c730b081908b19e6a4aea1549b |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af01ee94ec8190aa6dde54d4571c04 |
completed | March 9, 2026, 5:22 p.m. |
Created at: March 9, 2026, 3:44 p.m.