Triple

T17174626
Position Surface form Disambiguated ID Type / Status
Subject women's sabre E416826 entity
Predicate attackTypesAllowed P126609 FINISHED
Object cutting 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: cutting | Statement: [women's sabre, attackTypesAllowed, cutting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attackTypesAllowed
Context triple: [women's sabre, attackTypesAllowed, cutting]
  • A. attackType
    Indicates the specific method, style, or category of attack used in an aggressive or hostile action between entities.
  • B. attackFeasibility
    Indicates the extent to which carrying out an attack is practically possible given current conditions, capabilities, and constraints.
  • C. attacksIf
    Indicates that one entity initiates or carries out an attack on another entity when certain conditions are met.
  • D. attacks
    Indicates that one entity initiates an aggressive or harmful action directed toward another entity.
  • E. securityTypePermitted
    Indicates that a particular type or category of security is allowed or authorized within a given context or system.
  • F. None of above. chosen

Provenance (4 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0c329081909f118bd4b7be8653 completed April 18, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e383141ae0819096acd71683637cbc completed April 18, 2026, 1:11 p.m.
PDg Predicate description generation batch_69e39c2fedb881908bfed2c3e5f2616a completed April 18, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:37 a.m.