Triple

T12585049
Position Surface form Disambiguated ID Type / Status
Subject Province of Bourbonnais E300433 entity
Predicate preRevolutionAdministrativeStatus P63733 FINISHED
Object province of the Kingdom of France 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: province of the Kingdom of France | Statement: [Province of Bourbonnais, preRevolutionAdministrativeStatus, province of the Kingdom of France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preRevolutionAdministrativeStatus
Context triple: [Province of Bourbonnais, preRevolutionAdministrativeStatus, province of the Kingdom of France]
  • A. preRevolutionStatus chosen
    Indicates the status or condition of an entity as it existed prior to a specified revolution or revolutionary event.
  • B. postRevolutionStatus
    Indicates the condition, role, or state an entity holds after a revolution has occurred.
  • C. politicalStatusBefore
    Indicates the political status or condition an entity held prior to a specified event, change, or reference point.
  • D. preColonialStatus
    Indicates the condition, role, or social-political standing an entity held prior to the onset of colonial rule.
  • E. preRevolutionOccupation
    Indicates the occupation or role a person held before a specific revolution or revolutionary event.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69d95416cbd88190b2c65196162349bc completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 5:04 p.m.