Triple

T11663428
Position Surface form Disambiguated ID Type / Status
Subject Fiscal E277182 entity
Predicate locatedIn P40 FINISHED
Object District of Braga E607109 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: District of Braga | Statement: [Fiscal, locatedIn, District of Braga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District of Braga
Context triple: [Fiscal, locatedIn, District of Braga]
  • A. Braga District chosen
    Braga District is an administrative region in northern Portugal known for its historic cities, academic institutions, and growing scientific research infrastructure.
  • 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. Coimbra District
    Coimbra District is an administrative region in central Portugal that includes the historic university city of Coimbra and surrounding municipalities.
  • E. Lisbon District
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d3a64c819099f398ea22c8c180 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882dbf2481909ffcae5f80cd494f completed April 26, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:39 p.m.