Triple

T15606824
Position Surface form Disambiguated ID Type / Status
Subject Serra da Lousã E375179 entity
Predicate locatedIn P40 FINISHED
Object Distrito de Coimbra NE NERFINISHED

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: Distrito de Coimbra | Statement: [Serra da Lousã, locatedIn, Distrito de Coimbra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Distrito de Coimbra
Context triple: [Serra da Lousã, locatedIn, Distrito de Coimbra]
  • A. Coimbra District chosen
    Coimbra District is an administrative region in central Portugal that includes the historic university city of Coimbra and surrounding municipalities.
  • B. 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.
  • C. Braga District
    Braga District is an administrative region in northern Portugal known for its historic cities, academic institutions, and growing scientific research infrastructure.
  • D. Évora District
    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.
  • E. Covilhã District
    Covilhã District is a region in central Portugal known for its mountainous landscapes near Serra da Estrela and its historical textile industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:13 a.m.