Triple

T17045983
Position Surface form Disambiguated ID Type / Status
Subject Mühlacker E413568 entity
Predicate hasTwinTown P919 FINISHED
Object Vesoul E180722 NE 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: Vesoul | Statement: [Mühlacker, hasTwinTown, Vesoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vesoul
Context triple: [Mühlacker, hasTwinTown, Vesoul]
  • A. Vesoul chosen
    Vesoul is a commune in eastern France that serves as the administrative center (prefecture) of the Haute-Saône department.
  • B. Crevel
    Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
  • C. Yzeron
    Yzeron is a small river in eastern France that flows through the Lyon metropolitan area, including the commune of Oullins.
  • D. Profondeville
    Profondeville is a municipality in Wallonia, Belgium, situated along the Meuse River in Namur Province.
  • E. Belval
    Belval is a modern urban district in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major cultural, educational, and business hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233cd3d48190b002951881ef670b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.