Triple

T1781601
Position Surface form Disambiguated ID Type / Status
Subject mainland Portugal E39301 entity
Predicate containsCity P294 FINISHED
Object Guimarães E172663 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: Guimarães | Statement: [mainland Portugal, containsCity, Guimarães]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guimarães
Context triple: [mainland Portugal, containsCity, Guimarães]
  • A. Guimarães chosen
    Guimarães is a historic city in northern Portugal often regarded as the birthplace of the Portuguese nation and known for its well-preserved medieval center.
  • B. Braga
    Braga is a historic city in northern Portugal known for its rich religious heritage, baroque architecture, and status as a regional cultural and educational center.
  • C. Viana do Castelo
    Viana do Castelo is a historic coastal city in northern Portugal, known for its maritime heritage, medieval architecture, and the hilltop Sanctuary of Santa Luzia overlooking the Atlantic Ocean.
  • D. Coimbra
    Coimbra is a historic Portuguese city known for its medieval architecture and the University of Coimbra, one of the oldest universities in continuous operation in the world.
  • E. Porto
    Porto is Portugal’s second-largest city, renowned for its historic riverside district, rich maritime heritage, and production of port wine.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e34fe881908aa75f2b4141b87b completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae17a808190b5574ca6baafdb71 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:31 p.m.