Triple
T3964874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division II Wrestling Championships |
E92190
|
entity |
| Predicate | individualTitleAwardedTo |
P30587
|
FINISHED |
| Object | winner of each weight class |
—
|
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: winner of each weight class | Statement: [NCAA Division II Wrestling Championships, individualTitleAwardedTo, winner of each weight class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: individualTitleAwardedTo Context triple: [NCAA Division II Wrestling Championships, individualTitleAwardedTo, winner of each weight class]
-
A.
awardsTitle
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
-
B.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
C.
coRecipientOfAward
Indicates that two or more entities jointly received the same award.
-
D.
mostAwardsHolder
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
-
E.
awardTo
chosen
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.