Triple

T17206236
Position Surface form Disambiguated ID Type / Status
Subject Z (film score) E417609 entity
Predicate countryOfOriginOfAssociatedFilm P41843 FINISHED
Object France E861 NE FINISHED

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: [Z (film score), countryOfOriginOfAssociatedFilm, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Z (film score), countryOfOriginOfAssociatedFilm, 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: countryOfOriginOfAssociatedFilm
Context triple: [Z (film score), countryOfOriginOfAssociatedFilm, France]
  • A. filmCountryOfOrigin chosen
    Indicates the country where a film was originally produced or created.
  • B. productionCountryOfWorkAppearsIn
    Indicates that a country is the production country of a work in which a given entity appears.
  • C. countryOfRelease
    Indicates the country in which an item (such as a product, work, or media) was officially released.
  • D. countryOfFilming
    Indicates the country where the filming or production of a work physically took place.
  • E. filmingCountry
    Indicates the country where the filming or primary production of a work took place.
  • F. None of above.

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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc193488190a2c5a48ce7f631a9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fbe1d4c81909ce7e4626516b51d completed May 11, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69e3831e354881908c5505ffd15c84e9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:38 a.m.