Triple

T3663716
Position Surface form Disambiguated ID Type / Status
Subject Estremoz E77710 entity
Predicate locatedIn P40 FINISHED
Object Évora District E78524 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: Évora District | Statement: [Estremoz, locatedIn, Évora District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Évora District
Context triple: [Estremoz, locatedIn, Évora District]
  • A. Évora District chosen
    Évora District is an administrative region in southern Portugal known for its historic city of Évora, a UNESCO World Heritage site rich in Roman and medieval heritage.
  • B. Coimbra District
    Coimbra District is an administrative region in central Portugal that includes the historic university city of Coimbra and surrounding municipalities.
  • C. 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.
  • D. Viseu District
    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.
  • E. 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.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fe5eb08190ab15044acf9ac8a9 completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fd9ce4081908dee7b37946e86ae completed March 14, 2026, 11 a.m.
Created at: March 8, 2026, 3:25 p.m.