Triple

T16392432
Position Surface form Disambiguated ID Type / Status
Subject Saint-Herblain E398086 entity
Predicate hasTwinTown P919 FINISHED
Object Viladecans E885157 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: Viladecans | Statement: [Saint-Herblain, hasTwinTown, Viladecans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viladecans
Context triple: [Saint-Herblain, hasTwinTown, Viladecans]
  • A. Viladecans chosen
    Viladecans is a municipality in the Baix Llobregat comarca of the Barcelona metropolitan area in Catalonia, Spain.
  • B. Viladecavalls
    Viladecavalls is a municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its semi-rural character and proximity to the metropolitan area of Barcelona.
  • C. Ripollet
    Ripollet is a municipality in the comarca of Vallès Occidental in Catalonia, northeastern Spain, forming part of the Barcelona metropolitan area.
  • D. Villar del Cobo
    Villar del Cobo is a small rural municipality in the province of Teruel, Aragon, Spain, situated in the mountainous Sierra de Albarracín comarca.
  • E. Vilanova del Camí
    Vilanova del Camí is a municipality in the comarca of Anoia in Catalonia, Spain, known for its residential character and proximity to the town of Igualada.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2156008190a079c9f1b721d40a completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:08 a.m.