Triple
T13212804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimura lock |
E314534
|
entity |
| Predicate | legalStatusInMMA |
P2250
|
FINISHED |
| Object | generally legal for adult competitors |
—
|
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: generally legal for adult competitors | Statement: [Kimura lock, legalStatusInMMA, generally legal for adult competitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInMMA Context triple: [Kimura lock, legalStatusInMMA, generally legal for adult competitors]
-
A.
legalStatusOfDuel
Indicates the legal status or permissibility of engaging in a duel within a given jurisdiction or context.
-
B.
legalStatusModern
Indicates the current legal standing or classification of an entity under contemporary law or regulatory frameworks.
-
C.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
-
D.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
E.
legalStatusOfAuthority
Indicates the legal status or standing that a particular authority holds within a given legal or regulatory framework.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:17 p.m.