Triple

T6615138
Position Surface form Disambiguated ID Type / Status
Subject Angoumois E149330 entity
Predicate preFrenchRevolutionAdministrativeDivision P46543 FINISHED
Object yes LITERAL FINISHED

How this triple was built (2 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: yes | Statement: [Angoumois, preFrenchRevolutionAdministrativeDivision, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preFrenchRevolutionAdministrativeDivision
Context triple: [Angoumois, preFrenchRevolutionAdministrativeDivision, yes]
  • A. partyRoleOfFrance
    Indicates the specific role or capacity that France holds as a party within a given agreement, event, or relationship.
  • B. preRevolutionOccupation
    Indicates the occupation or role a person held before a specific revolution or revolutionary event.
  • C. historicalProvinceGroup chosen
    Indicates that two or more provinces are grouped together based on sharing a common historical administrative or territorial affiliation.
  • D. legalStatusDuringFrancoRegime
    Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
  • E. politicalDivision
    Indicates that one entity is a governmental or administrative subdivision or jurisdiction within the territory or authority of another entity.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6bdb88cc881908f35648c15a7dc85 completed March 27, 2026, 5:26 p.m.
PD Predicate disambiguation batch_69c6ad007c1c8190af425f51011c7ad1 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:57 p.m.