Triple

T9407764
Position Surface form Disambiguated ID Type / Status
Subject Veleta E226628 entity
Predicate partOf P40 FINISHED
Object Betic Cordillera E226627 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: Betic Cordillera | Statement: [Veleta, partOf, Betic Cordillera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betic Cordillera
Context triple: [Veleta, partOf, Betic Cordillera]
  • A. Baetic System chosen
    The Baetic System is a major mountain range in southern Spain that includes peaks such as the Sierra Nevada and stretches along the Mediterranean coast.
  • B. Cordillera Subbética
    Cordillera Subbética is a mountain range in southern Spain that forms part of the Baetic mountain system and is known for its complex limestone geology and rich biodiversity.
  • C. Cordillera Ibérica
    Cordillera Ibérica is a major mountain system in eastern Spain characterized by its complex geology and role as a natural divide between the central plateau and the Mediterranean coast.
  • D. Sierra Morena
    Sierra Morena is a major mountain range in southern Spain that forms a natural barrier between the central plateau and the Guadalquivir River valley.
  • E. Montes Torozos
    Montes Torozos is a plateau region in northwestern Spain characterized by rolling cereal fields, sparse woodlands, and traditional rural villages.
  • 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_69d12228d8148190814646881e1f2d98 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:47 p.m.