Triple

T8356613
Position Surface form Disambiguated ID Type / Status
Subject Daughters of Penelope E196695 entity
Predicate religiousOrCulturalAffiliation P45 FINISHED
Object Hellenic 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: Hellenic | Statement: [Daughters of Penelope, religiousOrCulturalAffiliation, Hellenic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousOrCulturalAffiliation
Context triple: [Daughters of Penelope, religiousOrCulturalAffiliation, Hellenic]
  • A. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • B. ethnicReligion
    Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
  • C. religiousCulturalContext
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • D. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • E. religiousCharacteristic
    Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb804a344c819089c0a13fe66e3088 completed March 31, 2026, 8:05 a.m.
PD Predicate disambiguation batch_69cb70ca25548190b0f90c5384e3fb3c completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:59 p.m.