Triple

T38380532
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Chartres E893746 entity
Predicate hasCantons P4962 FINISHED
Object multiple cantons 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: multiple cantons | Statement: [arrondissement of Chartres, hasCantons, multiple cantons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCantons
Context triple: [arrondissement of Chartres, hasCantons, multiple cantons]
  • A. hasCanton chosen
    Indicates that an entity is administratively divided into, or associated with, a specific canton.
  • B. numberOfCantons
    Indicates the total count of cantons associated with or contained within a given entity.
  • C. foundingCantons
    Indicates that the referenced entities are the original member regions or states that established or founded a larger political or organizational unit.
  • D. operatesInCanton
    Indicates that an entity conducts its activities or has operational presence within a specified canton.
  • E. hasAutonomousCanton
    Indicates that an entity possesses or is associated with a canton that has autonomous or self-governing status.
  • 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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a0067cde0f08190b2cd93af5f00d519 completed May 10, 2026, 11:11 a.m.
PD Predicate disambiguation batch_6a0065820c8c8190994734433c64a30a completed May 10, 2026, 11:01 a.m.
Created at: May 3, 2026, 4:31 p.m.