Triple
T16590127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAIA Wrestling Championships |
E403061
|
entity |
| Predicate | individualTitleAwarded |
P2680
|
FINISHED |
| Object | NAIA wrestling individual national champion |
—
|
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: NAIA wrestling individual national champion | Statement: [NAIA Wrestling Championships, individualTitleAwarded, NAIA wrestling individual national champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: individualTitleAwarded Context triple: [NAIA Wrestling Championships, individualTitleAwarded, NAIA wrestling individual national champion]
-
A.
awardsTitle
chosen
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
-
B.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
C.
awardNameIncludes
Indicates that the name of an award contains the specified text or substring.
-
D.
mainAwardWinner
Indicates that the subject is the primary recipient of a specified award or honor.
-
E.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599f3d18819082b3e6eef5506731 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.