Triple
T13212797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimura lock |
E314534
|
entity |
| Predicate | controlConcept |
P43307
|
FINISHED |
| Object | isolating opponent’s arm from body |
—
|
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: isolating opponent’s arm from body | Statement: [Kimura lock, controlConcept, isolating opponent’s arm from body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlConcept Context triple: [Kimura lock, controlConcept, isolating opponent’s arm from body]
-
A.
controlInnovation
Indicates that one entity directs, regulates, or significantly influences the innovation activities or outcomes of another entity.
-
B.
controlMethods
chosen
Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
-
C.
operationalConcept
Indicates that one entity defines, specifies, or embodies the operational concept or way of functioning for another entity.
-
D.
controlsType
Indicates that one entity has authority over, or the ability to direct or regulate, the type or category of another entity.
-
E.
exportControl
Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
- 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.