Triple

T21426368
Position Surface form Disambiguated ID Type / Status
Subject Forez E528566 entity
Predicate hasSecondaryTown P48850 FINISHED
Object Feurs NE NERFINISHED

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: Feurs | Statement: [Forez, hasSecondaryTown, Feurs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feurs
Context triple: [Forez, hasSecondaryTown, Feurs]
  • A. Feurs chosen
    Feurs is a historic town in central France’s Loire department, known as a former capital of the Forez region and for its Roman and medieval heritage.
  • B. Pétange
    Pétange is a commune in southwestern Luxembourg known for its proximity to the borders with Belgium and France and its role as a local transport and industrial hub.
  • C. Binche
    Binche is a historic town in the Walloon region of Belgium, renowned for its well-preserved medieval architecture and its UNESCO-recognized Carnival of Binche.
  • D. Marche-en-Famenne
    Marche-en-Famenne is a historic town in the Wallonia region of Belgium, known for its preserved old center and role as a local administrative and commercial hub.
  • E. Gembloux
    Gembloux is a town in the Walloon region of Belgium known for its historic center and agricultural university.
  • 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: hasSecondaryTown
Context triple: [Forez, hasSecondaryTown, Feurs]
  • A. hasSecondaryCity chosen
    Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
  • B. hasSecondaryAirport
    Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
  • C. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • D. primaryTown
    Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
  • E. secondaryCapital
    Indicates that a location serves as an additional or secondary capital city for a political entity, alongside its primary capital.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813c7a048190a400e364c8df1dcf completed April 26, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69e61639ee288190889ffd500d1260f6 completed April 20, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:48 p.m.