Triple

T11879680
Position Surface form Disambiguated ID Type / Status
Subject Montes Malditos E282622 entity
Predicate near P350 FINISHED
Object Benasque Valley E282614 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: Benasque Valley | Statement: [Montes Malditos, near, Benasque Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benasque Valley
Context triple: [Montes Malditos, near, Benasque Valley]
  • A. Benasque Valley chosen
    Benasque Valley is a scenic glacial valley in the central Pyrenees of Spain, renowned for its high mountain landscapes, hiking and skiing, and proximity to the range’s highest peaks.
  • B. Vallès Occidental
    Vallès Occidental is a comarca (county) in Catalonia, Spain, known for its industrial cities and proximity to Barcelona within the metropolitan area.
  • C. Ansó Valley
    Ansó Valley is a scenic Pyrenean valley in northeastern Spain known for its traditional stone villages, rich biodiversity, and popular hiking routes.
  • D. Valle de Tena
    Valle de Tena is a scenic Pyrenean valley in northeastern Spain known for its mountain landscapes, ski resorts, and outdoor recreation.
  • E. Ordesa Valley
    Ordesa Valley is a spectacular glacial valley in the central Pyrenees of northern Spain, renowned for its dramatic cliffs, waterfalls, and rich biodiversity.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f62a74cd8c8190a1b2aac622b11edc completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:44 p.m.