Triple

T7196621
Position Surface form Disambiguated ID Type / Status
Subject Pico de Aneto E168630 entity
Predicate accessPoint P1985 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: [Pico de Aneto, accessPoint, Benasque Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benasque Valley
Context triple: [Pico de Aneto, accessPoint, 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. Valle de Tena
    Valle de Tena is a scenic Pyrenean valley in northeastern Spain known for its mountain landscapes, ski resorts, and outdoor recreation.
  • D. 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.
  • E. Cerdanya valley
    Cerdanya valley is a high Pyrenean valley straddling Spain and France, known for its wide open landscapes, sunny climate, and historic Catalan 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e928ecdc8190a7f3feaf6d28781b completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbe7d42c8190915fd0713523cbb0 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:51 p.m.