Triple

T20158836
Position Surface form Disambiguated ID Type / Status
Subject VAL 206 E491648 entity
Predicate countryOfFirstUse P33718 FINISHED
Object France NE NERFINISHED

How this triple was built (3 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: France | Statement: [VAL 206, countryOfFirstUse, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [VAL 206, countryOfFirstUse, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. Pays Royannais
    Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
  • E. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfFirstUse
Context triple: [VAL 206, countryOfFirstUse, France]
  • A. countryOfFirstMarketing
    Indicates the country where a product was first introduced or made available on the market.
  • B. countryOfFirstRelease chosen
    Indicates the country in which a work (such as a film, game, or product) was first officially released.
  • C. primaryUseCountry
    Indicates the country in which something is primarily used or most commonly utilized.
  • D. countryOfFirstEvent
    Indicates the country in which the first event in a sequence or series took place.
  • E. formerCountryOfOrigin
    Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e27aa88190a326288b992ea274 completed April 20, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69e54cfd924881909b55f3e4d3e7e070 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:34 p.m.