Triple

T3566656
Position Surface form Disambiguated ID Type / Status
Subject Mauregard E75464 entity
Predicate locatedInMetropolitanFrance P50406 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: [Mauregard, locatedInMetropolitanFrance, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Mauregard, locatedInMetropolitanFrance, 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. 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.
  • C. France 5
    France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
  • D. France 4
    France 4 is a French public television channel, part of the France Télévisions group, known for broadcasting youth-oriented and family entertainment programming.
  • E. France and Italy
    France and Italy are neighboring European countries that share a long Alpine border, rich cultural heritage, and significant historical, economic, and touristic ties.
  • 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: locatedInMetropolitanFrance
Context triple: [Mauregard, locatedInMetropolitanFrance, France]
  • A. hasFrenchSector
    Indicates that an entity includes, controls, or is associated with a sector or area designated as French.
  • B. populationRankInFrance
    Indicates the relative position of an entity in an ordered list based on its population size within France.
  • C. locatedNearMetropolitanArea
    Indicates that one entity is situated in close geographic proximity to a metropolitan (urban) area.
  • D. isLocatedOn
    Indicates that one entity exists at or is situated upon the surface or area of another entity.
  • E. metropolitanOf
    Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
  • F. None of above. chosen

Provenance (5 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8ec8948190a0ae799ad20f42b3 completed March 13, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69adb834779081908468e182d5f6cf02 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb9bbb62c8190989629ca11733e1b completed March 8, 2026, 6:02 p.m.
Created at: March 8, 2026, 3:21 p.m.