Triple

T6621931
Position Surface form Disambiguated ID Type / Status
Subject Sierra Nevada E149694 entity
Predicate contains P35 FINISHED
Object Veleta E226628 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: Veleta | Statement: [Sierra Nevada, contains, Veleta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veleta
Context triple: [Sierra Nevada, contains, Veleta]
  • A. Veleta chosen
    Veleta is one of the highest and most prominent peaks in Spain’s Sierra Nevada mountain range, popular for mountaineering and skiing.
  • B. Puig de Missa
    Puig de Missa is a historic hilltop church and fortified complex overlooking the town of Santa Eulària des Riu on the island of Ibiza, Spain.
  • C. Pico de Aneto
    Pico de Aneto is the highest mountain in the Pyrenees, renowned for its extensive glaciers and challenging alpine routes.
  • D. Serra de Llevant
    Serra de Llevant is a low, rugged mountain range in the eastern part of Mallorca, known for its rolling hills, coastal cliffs, and traditional rural landscapes.
  • E. Monte Ulía
    Monte Ulía is a coastal mountain and natural viewpoint overlooking the Bay of Biscay, known for its scenic hiking trails and panoramic views of Donostia-San Sebastián in northern Spain.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eee8740881908b4fafb12db6b7f3 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:58 p.m.