Triple

T28980818
Position Surface form Disambiguated ID Type / Status
Subject Château de Montrond E734542 entity
Predicate regionOfHistoricalContext P915 FINISHED
Object central 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: central France | Statement: [Château de Montrond, regionOfHistoricalContext, central France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionOfHistoricalContext
Context triple: [Château de Montrond, regionOfHistoricalContext, central France]
  • A. historicalRegion chosen
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • B. historicalFocusRegion
    Indicates that an entity’s primary historical attention, study, or activity is centered on a particular geographic region.
  • C. historicalRegionOfInfluence
    Indicates that one entity was historically within the geographic, political, or cultural sphere of influence of another entity.
  • D. historicalRegionCorrespondsTo
    Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
  • E. historicalStatusOfRegion
    Indicates the historical political or administrative status that a region held during a specific past period.
  • 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_69f05b0dd9b481908b7901e1c95ff6b2 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
Created at: April 28, 2026, 9:11 a.m.