Triple

T32291276
Position Surface form Disambiguated ID Type / Status
Subject Irish Travellers E824971 entity
Predicate hasLegalProtectionUnder P38312 FINISHED
Object Irish equality legislation 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: Irish equality legislation | Statement: [Irish Travellers, hasLegalProtectionUnder, Irish equality legislation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalProtectionUnder
Context triple: [Irish Travellers, hasLegalProtectionUnder, Irish equality legislation]
  • A. isLegallyProtected
    Indicates that an entity is safeguarded by law, granting it specific rights or restrictions against harm, use, or alteration.
  • B. isProtectedByLawIn chosen
    Indicates that an entity is safeguarded or granted legal protection within a specified jurisdiction or legal framework.
  • C. legalProtectionFor
    Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
  • D. hasLegalProtectionSince
    Indicates that an entity has been under formal legal protection starting from a specified date or point in time.
  • E. legalProtectionScope
    Indicates the extent and boundaries of rights, interests, or activities that are covered and safeguarded under a particular legal protection.
  • 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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd68abf52881909c5a390c362b7c59 completed May 8, 2026, 4:38 a.m.
PD Predicate disambiguation batch_69fd6812d0c88190930d8fa2d4b92490 completed May 8, 2026, 4:35 a.m.
Created at: May 1, 2026, 12:44 a.m.