Triple
T30738487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1995 NCAA Division I women's basketball tournament |
E782627
|
entity |
| Predicate | conferenceAutomaticBidCount |
P68433
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [1995 NCAA Division I women's basketball tournament, conferenceAutomaticBidCount, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceAutomaticBidCount Context triple: [1995 NCAA Division I women's basketball tournament, conferenceAutomaticBidCount, 30]
-
A.
numberOfAutomaticBids
chosen
Indicates the total count of automatic bids associated with or placed in a given bidding context.
-
B.
hasAutomaticBids
Indicates that an entity has one or more bids that are placed or adjusted automatically rather than manually.
-
C.
auctionMethod
Indicates the type or procedure of auction used to conduct a sale or bidding process between parties.
-
D.
biddingRival
Indicates a competitive relationship where two or more parties are actively bidding against each other for the same opportunity, resource, or contract.
-
E.
auctionRecord
Indicates that there exists a documented record of an auction event involving the related entities.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 29, 2026, 8:37 p.m.