Triple

T15568753
Position Surface form Disambiguated ID Type / Status
Subject Mira (Portugal) E374182 entity
Predicate borderedBy P224 FINISHED
Object Cantanhede E375178 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: Cantanhede | Statement: [Mira (Portugal), borderedBy, Cantanhede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantanhede
Context triple: [Mira (Portugal), borderedBy, Cantanhede]
  • A. Cantanhede chosen
    Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
  • B. Beira Alta
    Beira Alta is a historical province in north-central Portugal known for its mountainous landscapes, fortified towns, and wine-producing regions.
  • C. Gouveia
    Gouveia is a municipality and town in central Portugal, situated in the Serra da Estrela mountain range and known for its natural landscapes and wool industry heritage.
  • D. Bemposta
    Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
  • E. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67830b4c8190a8c3f2168d8c2ec7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:10 a.m.