Triple

T8339205
Position Surface form Disambiguated ID Type / Status
Subject Trévélez E195866 entity
Predicate partOf P40 FINISHED
Object Las Alpujarras E530256 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: Las Alpujarras | Statement: [Trévélez, partOf, Las Alpujarras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Alpujarras
Context triple: [Trévélez, partOf, Las Alpujarras]
  • A. Alpujarras region chosen
    The Alpujarras region is a mountainous area on the southern slopes of Spain’s Sierra Nevada known for its whitewashed villages, terraced hillsides, and strong Moorish cultural legacy.
  • B. Lanjarón
    Lanjarón is a spa town in southern Spain renowned for its mineral water springs and as a gateway to the Alpujarras region of the Sierra Nevada.
  • C. Las Villuercas-Trujillo area
    The Las Villuercas-Trujillo area is a natural and historical region in eastern Extremadura, Spain, known for its rugged mountain landscapes, rich biodiversity, and well-preserved medieval towns.
  • D. Guadix
    Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
  • E. Aljustrel
    Aljustrel is a Portuguese town and municipality in the Alentejo region known historically for its mining activities, particularly copper and pyrite extraction.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd7a3888190b54306ed862aded4 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde79e916c8190afc90c3b12c68caf completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:57 p.m.