Triple

T22456702
Position Surface form Disambiguated ID Type / Status
Subject municipality of Mogadouro E555133 entity
Predicate hasSettlement P1068 FINISHED
Object Mogadouro NE NERFINISHED

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: [municipality of Mogadouro, hasSettlement, Mogadouro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogadouro
Context triple: [municipality of Mogadouro, hasSettlement, 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. Vimeiro
    Vimeiro is a village in western Portugal historically notable as the site of a major 1808 battle during the Peninsular War.
  • E. Amarante
    Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7c428c8190847a259eef969525 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.