Triple

T4968301
Position Surface form Disambiguated ID Type / Status
Subject Faetar E111579 entity
Predicate historicalMigrationOrigin P49307 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: [Faetar, historicalMigrationOrigin, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Faetar, historicalMigrationOrigin, 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. Lafrançaise, France
    Lafrançaise is a small commune in the Tarn-et-Garonne department of southern France, known for its rural charm and traditional French village atmosphere.
  • C. France Ô
    France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
  • D. France and Germany
    France and Germany are two major neighboring European countries that share deep historical ties, a central role in the European Union, and a long land border.
  • E. France 5
    France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
  • 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: historicalMigrationOrigin
Context triple: [Faetar, historicalMigrationOrigin, France]
  • A. historicalMigrationType
    Indicates the type or category of migration that occurred in a historical context between entities.
  • B. historicalPopulationMovement
    Indicates the movement or migration of a population from one place to another during a specific historical period or event.
  • C. historicalOriginCountry chosen
    Indicates the country from which something originally came or first emerged in a historical context.
  • D. originalRefugeeOrigin
    Indicates the place or country from which a refugee initially fled or was displaced.
  • E. hasSignificantEmigrationTo
    Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd72e49b048190bac55d9e7a6f7963 completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c2cb288190b0a603992c08235c completed March 21, 2026, 11:32 a.m.
PD Predicate disambiguation batch_69bd71447fe88190bb62c5e8753da7a7 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:32 p.m.