Triple

T9407738
Position Surface form Disambiguated ID Type / Status
Subject Veleta E226628 entity
Predicate near P350 FINISHED
Object 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: Alpujarras | Statement: [Veleta, near, Alpujarras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alpujarras
Context triple: [Veleta, near, 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. Sierra Oeste de Madrid
    Sierra Oeste de Madrid is a rural comarca in the western part of Spain’s Community of Madrid, known for its mountainous landscapes, small towns, and natural surroundings.
  • C. Sierra de la Victoria
    Sierra de la Victoria is a mountain range located on the Baja California Peninsula in northwestern Mexico.
  • D. Sierra de Cazorla
    Sierra de Cazorla is a mountainous natural park in the province of Jaén in southern Spain, renowned for its rugged landscapes, rich biodiversity, and extensive pine forests.
  • E. Guadarrama
    Guadarrama is a municipality in the Sierra de Guadarrama mountain range in the Community of Madrid, central Spain, known for its natural landscapes and outdoor recreation.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5252b3fc8190b0808a10987728c8 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102414e8819097a1bb58a3ded630 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:47 p.m.