Triple
T34879024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1987 NCAA Division I women's basketball championship |
E1005960
|
entity |
| Predicate | numberOfFinalFourTeamsFromHostState |
P205592
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1987 NCAA Division I women's basketball championship, numberOfFinalFourTeamsFromHostState, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFinalFourTeamsFromHostState Context triple: [1987 NCAA Division I women's basketball championship, numberOfFinalFourTeamsFromHostState, 1]
-
A.
numberOfFinalFourTeams
Indicates the count of teams that reached the Final Four stage in a given tournament or competition.
-
B.
finalFourState
Indicates that a team or participant reached the semifinal round (Final Four) of a tournament held in a particular state.
-
C.
finalFourTeams
Indicates that the related entities are the teams that have advanced to the semifinal round (final four) of a tournament or competition.
-
D.
regionOfFinalFour
Indicates the geographic region in which the Final Four round of a tournament takes place.
-
E.
hostCityFinalFourCount
Indicates how many times a given city has hosted the Final Four 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.