Triple

T1714132
Position Surface form Disambiguated ID Type / Status
Subject Les Engagés E37250 entity
Predicate hasWomenOrganization P32258 FINISHED
Object women’s organization linked to Les Engagés 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: women’s organization linked to Les Engagés | Statement: [Les Engagés, hasWomenOrganization, women’s organization linked to Les Engagés]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWomenOrganization
Context triple: [Les Engagés, hasWomenOrganization, women’s organization linked to Les Engagés]
  • A. hadWomenOrganization
    Indicates that an entity was associated with or involved in an organization focused on women or women’s issues.
  • B. admittedWomen
    Indicates that an entity allowed or accepted women into a place, group, institution, or event.
  • C. hasUNOrgan
    Indicates that an entity is a member of, affiliated with, or otherwise formally associated with a specified United Nations body or organ.
  • D. hasSisterOrganization
    Indicates that one organization is related to another as a sister organization, typically sharing a common parent, affiliation, or parallel status within the same overarching structure.
  • E. hasFemaleEquivalent
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab7521878c8190b9e7739b8c3fc705 completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61bd46d48190915500d75a9d8e94 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab752034348190a1cc20955ed24f6f completed March 7, 2026, 12:45 a.m.
Created at: March 4, 2026, 7:30 p.m.