Triple

T10804484
Position Surface form Disambiguated ID Type / Status
Subject Garraf E254927 entity
Predicate borders P224 FINISHED
Object Baix Penedès E887272 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: Baix Penedès | Statement: [Garraf, borders, Baix Penedès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baix Penedès
Context triple: [Garraf, borders, Baix Penedès]
  • A. Alt Penedès
    Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
  • B. Baix Penedès comarca chosen
    Baix Penedès comarca is a coastal county in Catalonia, Spain, known for its Mediterranean beaches, wine production, and proximity to the Costa Daurada.
  • C. Priorat
    Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
  • D. Badia del Vallès
    Badia del Vallès is a small, densely populated municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its largely residential character and proximity to Barcelona.
  • E. Baix Empordà
    Baix Empordà is a coastal comarca in northeastern Catalonia, Spain, known for its medieval villages, beaches, and coves along the Costa Brava.
  • 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_69dff7c0907c8190b092bb6754fe4e52 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:18 p.m.