Triple

T10769179
Position Surface form Disambiguated ID Type / Status
Subject Vallès Oriental E254029 entity
Predicate contains P35 FINISHED
Object Montornès del Vallès E878567 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: Montornès del Vallès | Statement: [Vallès Oriental, contains, Montornès del Vallès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montornès del Vallès
Context triple: [Vallès Oriental, contains, Montornès del Vallès]
  • A. Montornès del Vallès chosen
    Montornès del Vallès is a municipality in the Vallès Oriental comarca of Catalonia, Spain, situated within the greater Barcelona metropolitan area.
  • B. Torroella de Montgrí
    Torroella de Montgrí is a historic town in Catalonia, Spain, known for its medieval architecture and its location near the Montgrí Massif and the Costa Brava.
  • C. Arenys de Munt
    Arenys de Munt is a municipality in the Maresme comarca of Catalonia, Spain, known for its Mediterranean setting and involvement in early Catalan independence referendums.
  • D. Benicarló
    Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
  • E. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7322f9968819098b0ad54b913bfe4 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.