Triple

T2776530
Position Surface form Disambiguated ID Type / Status
Subject Val d’Aran E61583 entity
Predicate containsSettlement P847 FINISHED
Object Vielha e Mijaran E296942 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: Vielha e Mijaran | Statement: [Val d’Aran, containsSettlement, Vielha e Mijaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vielha e Mijaran
Context triple: [Val d’Aran, containsSettlement, Vielha e Mijaran]
  • A. Vielha e Mijaran chosen
    Vielha e Mijaran is a mountain town in the central Pyrenees of Catalonia, Spain, known as the main administrative and commercial center of the Val d’Aran.
  • 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. Benasque Valley
    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.
  • D. Piedrahíta
    Piedrahíta is a historic town in the province of Ávila, Castile and León, Spain, known for its medieval heritage and noble connections.
  • E. Monchique
    Monchique is a mountainous spa town in southern Portugal known for its lush forests, thermal springs, and panoramic views over the Algarve region.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd81015481908785fbef0326a2db completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc64f94208190b9b8da1fdf6252cc completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.