Triple

T15568860
Position Surface form Disambiguated ID Type / Status
Subject Aveiro District E374185 entity
Predicate borders P224 FINISHED
Object Porto District E231665 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: Porto District | Statement: [Aveiro District, borders, Porto District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto District
Context triple: [Aveiro District, borders, Porto District]
  • A. Porto District chosen
    Porto District is an administrative region in northern Portugal centered on the city of Porto, known for its historic architecture, port wine production, and Atlantic coastline.
  • B. Lisbon District
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • 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. 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. Coimbra District
    Coimbra District is an administrative region in central Portugal that includes the historic university city of Coimbra and surrounding municipalities.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff875bb0808190a6a4e3b47b524689 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:10 a.m.