Triple

T16270933
Position Surface form Disambiguated ID Type / Status
Subject Baix Ebre E394995 entity
Predicate borderedBy P224 FINISHED
Object Baix Camp E389596 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 Camp | Statement: [Baix Ebre, borderedBy, Baix Camp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baix Camp
Context triple: [Baix Ebre, borderedBy, Baix Camp]
  • A. Baix Camp chosen
    Baix Camp is a coastal comarca in the province of Tarragona, Catalonia, Spain, known for its capital Reus and its mix of Mediterranean coastline and inland agricultural areas.
  • B. Alt Berguedà
    Alt Berguedà is the mountainous northern subregion of Berguedà in Catalonia, known for its Pyrenean landscapes, rural villages, and natural parks.
  • C. Mont-roig del Camp
    Mont-roig del Camp is a coastal municipality in Catalonia, Spain, known for its Mediterranean beaches and its association with the painter Joan Miró.
  • D. Benicarló
    Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
  • E. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e246099dd081908e268a1a0cf8a373 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bf09888190b3d90db3517a2f1e completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.