Triple

T10804483
Position Surface form Disambiguated ID Type / Status
Subject Garraf E254927 entity
Predicate borders P224 FINISHED
Object Alt Penedès E254928 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: Alt Penedès | Statement: [Garraf, borders, Alt Penedès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alt Penedès
Context triple: [Garraf, borders, Alt Penedès]
  • A. Alt Penedès chosen
    Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
  • B. Baix Penedès comarca
    Baix Penedès comarca is a coastal county in Catalonia, Spain, known for its Mediterranean beaches, wine production, and proximity to the Costa Daurada.
  • C. 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.
  • D. Priorat
    Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
  • E. Terres de l’Ebre
    Terres de l’Ebre is a southern Catalan region in Spain known for the Ebro River delta, rich wetlands, and distinctive agricultural and natural landscapes.
  • 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_69deb0d849888190be46616ecc97c2b1 completed April 14, 2026, 9:25 p.m.
Created at: April 8, 2026, 9:18 p.m.