Triple

T17124858
Position Surface form Disambiguated ID Type / Status
Subject Beira Interior E415565 entity
Predicate hasSubregion P285 FINISHED
Object Cova da Beira E1067783 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: Cova da Beira | Statement: [Beira Interior, hasSubregion, Cova da Beira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cova da Beira
Context triple: [Beira Interior, hasSubregion, Cova da Beira]
  • A. Cova da Beira chosen
    Cova da Beira is a subregion in central Portugal known for its agricultural production, particularly fruit and wine, and for its proximity to the Serra da Estrela mountains.
  • B. Cova Figueira
    Cova Figueira is a town on the island of Fogo in Cape Verde, known for its proximity to the active volcano Pico do Fogo and its role as a local commercial and agricultural center.
  • C. Vilar Formoso
    Vilar Formoso is a Portuguese border town in the municipality of Almeida, known as one of the main rail and road gateways between Portugal and Spain.
  • D. Porto Covo
    Porto Covo is a small coastal village in Portugal’s Alentejo region, known for its picturesque beaches, rugged cliffs, and traditional whitewashed houses.
  • E. Pedrógão Pequeno
    Pedrógão Pequeno is a small village in central Portugal known for its scenic setting near the Zêzere River and its historic bridge and dam.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.