Triple

T13721942
Position Surface form Disambiguated ID Type / Status
Subject Andújar E329056 entity
Predicate region P40 FINISHED
Object Campiña of Jaén E921688 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: Campiña of Jaén | Statement: [Andújar, region, Campiña of Jaén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campiña of Jaén
Context triple: [Andújar, region, Campiña of Jaén]
  • A. Campiña de Jaén chosen
    Campiña de Jaén is a comarca in the Andalusian province of Jaén in southern Spain, known for its extensive olive groves and agricultural landscapes.
  • B. Huerta de Murcia
    Huerta de Murcia is a historic irrigated agricultural region surrounding the city of Murcia in southeastern Spain, known for its fertile orchards and traditional market-garden landscape.
  • C. Aragon Valley
    Aragon Valley is a mountainous valley region in the central Pyrenees of northern Spain, known for its scenic landscapes and outdoor recreation opportunities.
  • D. Rascafría
    Rascafría is a mountain village and municipality in the Sierra de Guadarrama of central Spain, known for its natural landscapes and the nearby Monastery of El Paular.
  • E. Jaén Province
    Jaén Province is an administrative subdivision in northern Peru’s Cajamarca Region, known for its coffee production, diverse ecosystems, and growing agricultural economy.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5e1ecc8190a9fec550a99702c0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.