Triple

T1533644
Position Surface form Disambiguated ID Type / Status
Subject Creuse E32501 entity
Predicate partOfHistoricRegion P13711 FINISHED
Object Limousin E84116 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: Limousin | Statement: [Creuse, partOfHistoricRegion, Limousin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limousin
Context triple: [Creuse, partOfHistoricRegion, Limousin]
  • A. Limousin chosen
    Limousin is a former administrative region in central France known for its rural landscapes, cattle breeding, and historic towns such as Limoges and Tulle.
  • B. Charolais
    Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
  • C. Bouvier
    Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
  • D. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • E. Ayrshire cattle
    Ayrshire cattle are a hardy, medium-sized dairy breed from southwest Scotland, renowned for their efficient milk production and adaptability to various climates and grazing conditions.
  • 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: partOfHistoricRegion
Context triple: [Creuse, partOfHistoricRegion, Limousin]
  • A. historicalRegion
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • B. 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.
  • C. historicalRegionCode
    Indicates that an entity is associated with a specific code identifying a historical region.
  • D. historicalRegionAssociation chosen
    Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
  • E. formsHistoricalRegionWith
    Indicates that two or more entities together constitute or are recognized as a single historical region.
  • F. None of above.

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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.