Triple

T13458104
Position Surface form Disambiguated ID Type / Status
Subject Democratic Republican Alliance E311285 entity
Predicate stateLanguage P17042 FINISHED
Object 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: French | Statement: [Democratic Republican Alliance, stateLanguage, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateLanguage
Context triple: [Democratic Republican Alliance, stateLanguage, French]
  • A. regionLanguage
    Indicates that a particular language is used or officially recognized within a specific geographic region.
  • B. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • C. nationalLanguageStatus chosen
    Indicates that a language holds official or nationally recognized status within a country or political entity.
  • D. nationalLanguageSpoken
    Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
  • E. identityLanguage
    Indicates that two language entities are identical or represent the same language.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69d9a03dcd0c8190a8927eb4eaad1c45 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:41 p.m.