Triple

T763186
Position Surface form Disambiguated ID Type / Status
Subject Grand maître de la Légion d'honneur E16115 entity
Predicate pays P18928 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: [Grand maître de la Légion d'honneur, pays, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Grand maître de la Légion d'honneur, pays, 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: pays
Context triple: [Grand maître de la Légion d'honneur, pays, France]
  • A. paidBy
    Indicates that a payment or financial obligation is made or settled by the specified entity.
  • B. paymentMethod
    Indicates the means or instrument through which a payment is made in a transaction.
  • C. salary
    Indicates the amount of monetary compensation an entity receives, typically on a regular basis, for work or services performed.
  • D. payGrade
    Indicates the level or category of compensation assigned to an entity, typically reflecting its rank, role, or seniority in a pay structure.
  • E. revenuePaidTo
    Indicates that a specified amount of revenue is paid or transferred from one entity to another as a recipient.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c005750881909187edfa8e8fa02c completed March 4, 2026, 5:15 a.m.
PD Predicate disambiguation batch_69a4a506106081909ef97a679ff00a5a completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a5a35c68819082429755c046e9a7 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:37 p.m.