Triple

T2693712
Position Surface form Disambiguated ID Type / Status
Subject Freerider E58462 entity
Predicate hasProtection P957 FINISHED
Object traditional gear 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: traditional gear | Statement: [Freerider, hasProtection, traditional gear]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtection
Context triple: [Freerider, hasProtection, traditional gear]
  • A. isProtectedFor
    Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
  • B. isProtectedBy
    Indicates that one entity provides protection, defense, or safeguarding for another entity.
  • C. isProtectedFrom
    Indicates that one entity is safeguarded or shielded against harm, damage, or adverse effects caused by another entity or factor.
  • D. providesProtectionAgainst
    Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
  • E. protectedBy chosen
    Indicates that one entity provides protection, defense, or safeguarding for 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0f43b08190a5abd936b14603b7 completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd81ea5d88190ab5c8f8b8064b931 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:54 p.m.