Triple

T22147794
Position Surface form Disambiguated ID Type / Status
Subject O.C. E547331 entity
Predicate equivalentFrenchPostNominal P147165 FINISHED
Object O.C. (same form used in French) 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: O.C. (same form used in French) | Statement: [O.C., equivalentFrenchPostNominal, O.C. (same form used in French)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentFrenchPostNominal
Context triple: [O.C., equivalentFrenchPostNominal, O.C. (same form used in French)]
  • A. correspondsToAbbreviationInFrench
    Indicates that one entity is the full form or expression for which the other entity serves as the abbreviation in French.
  • B. hasPostnominalLetters
    Indicates that a person holds specific postnominal letters (abbreviations after their name) signifying qualifications, honors, or titles.
  • C. nameInFrench
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • D. equivalentTitleInFrench
    Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
  • E. isFrancophoneCounterpartOf
    Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f156988190bc9a24a37418e849 completed April 28, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69e71b384e008190b723c9a0f1089d66 completed April 21, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e7222d208c819098b12c13e31af629 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 8:33 p.m.