Triple

T10804502
Position Surface form Disambiguated ID Type / Status
Subject Garraf E254927 entity
Predicate administrativeCenter P1474 FINISHED
Object Vilanova i la Geltrú E275600 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: Vilanova i la Geltrú | Statement: [Garraf, administrativeCenter, Vilanova i la Geltrú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilanova i la Geltrú
Context triple: [Garraf, administrativeCenter, Vilanova i la Geltrú]
  • A. Vilanova i la Geltrú chosen
    Vilanova i la Geltrú is a coastal city in Catalonia, Spain, known for its Mediterranean beaches, cultural festivals, and role as a regional educational and industrial hub.
  • B. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • C. Vilanova del Vallès
    Vilanova del Vallès is a municipality in the province of Barcelona, Catalonia, Spain, known for its semi-rural character within the Vallès Oriental comarca.
  • D. Vilafranca del Penedès
    Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
  • E. Benicàssim
    Benicàssim is a coastal town in eastern Spain best known for its Mediterranean beaches and the annual Festival Internacional de Benicàssim (FIB) music festival.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:18 p.m.