Triple

T22524268
Position Surface form Disambiguated ID Type / Status
Subject Flag of the Organisation internationale de la Francophonie E556858 entity
Predicate organizationHeadquartersLocation P142487 FINISHED
Object Paris 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: Paris | Statement: [Flag of the Organisation internationale de la Francophonie, organizationHeadquartersLocation, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Flag of the Organisation internationale de la Francophonie, organizationHeadquartersLocation, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • D. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • E. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • 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: organizationHeadquartersLocation
Context triple: [Flag of the Organisation internationale de la Francophonie, organizationHeadquartersLocation, Paris]
  • A. headquartersLocation
    Indicates the place where an organization’s main administrative center or principal office is located.
  • B. employerHeadquarters
    Indicates the location where an employer’s main corporate offices or central administrative operations are based.
  • C. headquartersLocationOfFoundedOrganization
    Indicates that a location serves as the headquarters of an organization that was founded there.
  • D. campaignHeadquartersLocation
    Indicates the specific place where a political or organizational campaign’s main headquarters is located.
  • E. hasOrganizationHeadquarters chosen
    Indicates that an organization’s main administrative or operational center is located at a specific place.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
PD Predicate disambiguation batch_69ee625e3b408190a60c759fb0b28fe2 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:51 p.m.