Triple

T8457676
Position Surface form Disambiguated ID Type / Status
Subject Viseu E199960 entity
Predicate locatedIn P40 FINISHED
Object Viseu District E229276 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: Viseu District | Statement: [Viseu, locatedIn, Viseu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viseu District
Context triple: [Viseu, locatedIn, Viseu District]
  • A. Viseu District chosen
    Viseu District is an inland administrative region in north-central Portugal known for its historic city of Viseu, wine production, and varied mountainous and riverine landscapes.
  • B. Covilhã District
    Covilhã District is a region in central Portugal known for its mountainous landscapes near Serra da Estrela and its historical textile industry.
  • C. Vila Real District
    Vila Real District is an administrative region in northern Portugal known for its mountainous landscapes and its role in the Douro wine-producing area.
  • D. Bragança District
    Bragança District is a largely rural administrative region in northeastern Portugal known for its mountainous landscapes, historic towns, and proximity to the Spanish border.
  • E. Portalegre District
    Portalegre District is an administrative district in eastern Portugal, known for its historic towns and location along the Spanish border in the Alentejo 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49064f881909391d565b97e9886 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dea01c481909496ebfca4e9916e completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.