Triple

T37499311
Position Surface form Disambiguated ID Type / Status
Subject Wing Chun E931914 entity
Predicate guardPosition P28293 FINISHED
Object centerline guard 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: centerline guard | Statement: [Wing Chun, guardPosition, centerline guard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: guardPosition
Context triple: [Wing Chun, guardPosition, centerline guard]
  • A. shieldPosition chosen
    Indicates the relative location or orientation of a shield with respect to the entity or context it is protecting.
  • B. guard
    Indicates that one entity protects, watches over, or defends another entity or resource from harm, intrusion, or unauthorized access.
  • C. guardType
    Indicates the specific kind or category of guarding role or protection associated with an entity.
  • D. guardMounting
    Indicates the action of assigning or taking up a position for guard duty, typically as part of a scheduled security or watch rotation.
  • E. guardFeature
    Indicates that one entity protects, secures, or restricts access to a particular feature of another 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_69f76ec457a4819094eeb3aed9baac11 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba68077788190b311e027435fcf87 completed May 6, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fba34c65ac8190b298f0f00d1dcc0e completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:17 p.m.