Triple

T5915517
Position Surface form Disambiguated ID Type / Status
Subject Huesca province E131569 entity
Predicate contains P35 FINISHED
Object Jaca E44856 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: Jaca | Statement: [Huesca province, contains, Jaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaca
Context triple: [Huesca province, contains, Jaca]
  • A. Jaca chosen
    Jaca is a town in northeastern Spain, in the Pyrenees of Aragon, known as a mountain resort and former candidate host city for the Winter Olympics.
  • B. El Chaltén
    El Chaltén is a small Argentine mountain village in Patagonia renowned as a premier trekking and climbing base for exploring the Fitz Roy massif and surrounding Andean landscapes.
  • C. Paso Futaleufú
    Paso Futaleufú is a mountain pass and international border crossing in the Andes that connects southern Chile and Argentina near the town of Futaleufú.
  • D. La Falda
    La Falda is a small tourist city in the Sierras de Córdoba in central Argentina, known for its scenic mountain setting and historic hotels.
  • E. Vallorcine
    Vallorcine is a small alpine village and ski resort in the French Alps, known for its scenic setting close to the Mont Blanc massif and its access to hiking and winter sports.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bb538c8190acc514c2d49359f4 completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e397f2748190acf2d629ee57a466 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.