Triple
T4169646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Fencing Championships |
E84528
|
entity |
| Predicate | womenChampionshipAdded |
P10813
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [NCAA Fencing Championships, womenChampionshipAdded, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenChampionshipAdded Context triple: [NCAA Fencing Championships, womenChampionshipAdded, 1982]
-
A.
NWSLChampionshipTitle
Indicates that an entity has won a National Women's Soccer League (NWSL) Championship title.
-
B.
championshipFor
chosen
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
-
C.
championshipName
Indicates the name or title assigned to a specific championship event or competition.
-
D.
wonWNBAChampionship
Indicates that an entity has achieved victory in the WNBA Finals and secured a WNBA championship title.
-
E.
womenMainEventParticipants
Indicates that the referenced entities are participants in a main event specifically designated for women.
- 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_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. |
Created at: March 9, 2026, 3:44 p.m.