Triple

T11619528
Position Surface form Disambiguated ID Type / Status
Subject Vilanova i la Geltrú E275600 entity
Predicate locatedIn P40 FINISHED
Object Garraf E254927 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: Garraf | Statement: [Vilanova i la Geltrú, locatedIn, Garraf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garraf
Context triple: [Vilanova i la Geltrú, locatedIn, Garraf]
  • A. Garraf chosen
    Garraf is a coastal comarca in Catalonia, Spain, known for its Mediterranean landscapes, natural park, and seaside towns such as Sitges and Vilanova i la Geltrú.
  • B. Ronda de Dalt
    Ronda de Dalt is a major ring road in the Barcelona metropolitan area that helps divert and distribute traffic around the city.
  • C. La Garriga
    La Garriga is a municipality in Catalonia, Spain, known for its modernist architecture, thermal baths, and location at the foot of the Montseny massif.
  • D. Figaró-Montmany
    Figaró-Montmany is a small municipality in the province of Barcelona, Catalonia, Spain, situated in a mountainous area near the Montseny Natural Park.
  • E. 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.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82a205f08190b1c0e856fdeece11 completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:38 p.m.