Triple

T9299590
Position Surface form Disambiguated ID Type / Status
Subject Bragança District E223724 entity
Predicate containsMunicipality P852 FINISHED
Object Mogadouro E131572 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: Mogadouro | Statement: [Bragança District, containsMunicipality, Mogadouro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogadouro
Context triple: [Bragança District, containsMunicipality, Mogadouro]
  • A. Mogadouro chosen
    Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
  • B. Ansião
    Ansião is a municipality in central Portugal known for its rural landscapes, historical churches, and traditional Portuguese architecture.
  • C. Mouraria
    Mouraria is a historic Lisbon neighborhood known for its multicultural character, narrow medieval streets, and deep ties to traditional fado music.
  • D. Amarante
    Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
  • E. Amarante
    Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d070c881908bed41aada6f85ae completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b25ac97881908751b466b370b7e5 completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.