Triple

T26465009
Position Surface form Disambiguated ID Type / Status
Subject Municipal council of Nevers E665737 entity
Predicate locatedInCentralAdministrativeTerritory P194599 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: [Municipal council of Nevers, locatedInCentralAdministrativeTerritory, central France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInCentralAdministrativeTerritory
Context triple: [Municipal council of Nevers, locatedInCentralAdministrativeTerritory, central France]
  • A. locatedInAutonomousRegion
    Indicates that one entity is geographically or administratively situated within a self-governing or semi-independent regional territory.
  • B. locatedInRegionOfRussia
    Indicates that one entity is geographically situated within a specified region of Russia.
  • C. isCentralAdministrativeDivisionFor
    Indicates that one administrative unit serves as the primary governing or managing division for another entity or territory.
  • D. isCentralAdministrativeBodyOf
    Indicates that one entity serves as the main governing or coordinating administrative authority for another entity or system.
  • E. isFederalDistrictUntil
    Indicates that an entity functioned as a federal district up to a specified end date or time.
  • 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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69fd7e364a648190a1e9e1d9fc76e99e completed May 8, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69fd7bb547608190a3b04dddbca6b8bc completed May 8, 2026, 5:59 a.m.
PDg Predicate description generation batch_69fd7e35967081909f8bc8389d976ffd completed May 8, 2026, 6:09 a.m.
Created at: April 27, 2026, 12:15 a.m.