Triple

T1553071
Position Surface form Disambiguated ID Type / Status
Subject Sambo E33136 entity
Predicate fullFormInEnglish P2351 FINISHED
Object self-defense without weapons 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: self-defense without weapons | Statement: [Sambo, fullFormInEnglish, self-defense without weapons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fullFormInEnglish
Context triple: [Sambo, fullFormInEnglish, self-defense without weapons]
  • A. hasFullForm chosen
    Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
  • B. compositionalForm
    Indicates the structural or formal composition that defines how parts are organized or combined within something.
  • C. hasSecondWordOfExpandedForm
    Indicates that the second word in the fully expanded (non-abbreviated) form of one entity is related to or associated with another entity.
  • D. hasFirstWordOfExpandedForm
    Indicates that one entity is the first word in the fully expanded (non-abbreviated) form of another entity.
  • E. hasEnglishName
    Indicates that an entity is associated with a name expressed in the English language.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa574094048190a2d7fc3ac904d51e completed March 6, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69a907b426dc8190975c024a50955368 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.