Triple

T2853912
Position Surface form Disambiguated ID Type / Status
Subject Urbanos de Lisboa E63154 entity
Predicate region P40 FINISHED
Object Lisbon District E128968 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: Lisbon District | Statement: [Urbanos de Lisboa, region, Lisbon District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon District
Context triple: [Urbanos de Lisboa, region, Lisbon District]
  • A. Lisbon District chosen
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • B. Porto District
    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.
  • C. 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.
  • 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. 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5f21348190a574fa86bc71c76f completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8774cc8190aa6ed40b26c4a568 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.