Triple

T10644878
Position Surface form Disambiguated ID Type / Status
Subject Anoia E250810 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: [Anoia, borders, Alt Penedès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alt Penedès
Context triple: [Anoia, 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. 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.
  • C. Priorat
    Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
  • D. 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.
  • E. Conca de Barberà
    Conca de Barberà is a comarca (county) in Catalonia, Spain, known for its medieval heritage, wine production, and the presence of the UNESCO-listed Poblet Monastery.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfd04ca88190ac4fffd13c1f33a8 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d998a4571481908f5010146f7ca5d7 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:05 p.m.