Triple

T12428176
Position Surface form Disambiguated ID Type / Status
Subject Vielha Tunnel E296952 entity
Predicate namedAfter P63 FINISHED
Object Vielha 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 | Statement: [Vielha Tunnel, namedAfter, Vielha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vielha
Context triple: [Vielha Tunnel, namedAfter, Vielha]
  • 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. Pico de Aneto
    Pico de Aneto is the highest mountain in the Pyrenees, renowned for its extensive glaciers and challenging alpine routes.
  • C. Veleta
    Veleta is one of the highest and most prominent peaks in Spain’s Sierra Nevada mountain range, popular for mountaineering and skiing.
  • D. Pico de las Nieves
    Pico de las Nieves is the highest peak on the island of Gran Canaria in Spain’s Canary Islands, known for its panoramic views and distinctive volcanic landscape.
  • E. Pico de Añisclo
    Pico de Añisclo is a prominent 3,263-meter peak in the Monte Perdido massif of the Spanish Pyrenees, known for its dramatic limestone cliffs and location within Ordesa y Monte Perdido National Park.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718723bc8190987fa56147712851 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:55 p.m.