Triple

T1292395
Position Surface form Disambiguated ID Type / Status
Subject Bourbonnais E27574 entity
Predicate historicalRegionCode P28337 FINISHED
Object FR-Bourbonnais (traditional, not administrative) 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: FR-Bourbonnais (traditional, not administrative) | Statement: [Bourbonnais, historicalRegionCode, FR-Bourbonnais (traditional, not administrative)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalRegionCode
Context triple: [Bourbonnais, historicalRegionCode, FR-Bourbonnais (traditional, not administrative)]
  • A. historicalRegion
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • B. historicalRegionAssociation
    Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
  • C. formsHistoricalRegionWith
    Indicates that two or more entities together constitute or are recognized as a single historical region.
  • D. historicallyPartOf
    Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
  • E. historicalCirculationRegion
    Indicates the geographic region(s) where something was circulated or distributed during a past historical period.
  • F. None of above. chosen

Provenance (4 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c3b9ebdc819098de4d3288201bc1 completed March 1, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.