Triple

T22456436
Position Surface form Disambiguated ID Type / Status
Subject Alto Trás-os-Montes E555128 entity
Predicate containsMunicipality P852 FINISHED
Object Mirandela 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: Mirandela | Statement: [Alto Trás-os-Montes, containsMunicipality, Mirandela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirandela
Context triple: [Alto Trás-os-Montes, containsMunicipality, Mirandela]
  • A. Mirandela chosen
    Mirandela is a municipality and city in northeastern Portugal known for its olive oil production and scenic location along the Tua River.
  • B. O Porriño
    O Porriño is a town and municipality in Galicia, northwestern Spain, known for its granite quarries and industrial activity.
  • C. Camariñas
    Camariñas is a coastal town in Galicia, northwestern Spain, known for its traditional handmade bobbin lace and its location on the rugged Costa da Morte.
  • D. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • E. Almagreira
    Almagreira is a civil parish located within the municipality of Vila do Porto in the Azores, Portugal.
  • 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.