Triple

T15606777
Position Surface form Disambiguated ID Type / Status
Subject Cantanhede E375178 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Cantanhede (city) 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 (city) | Statement: [Cantanhede, hasMunicipalSeat, Cantanhede (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantanhede (city)
Context triple: [Cantanhede, hasMunicipalSeat, Cantanhede (city)]
  • 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. Vila Nova da Barquinha
    Vila Nova da Barquinha is a small Portuguese municipality known for its riverside setting along the Tagus River and its historic castle of Almourol.
  • C. Gafanha do Carmo
    Gafanha do Carmo is a civil parish in the municipality of Ílhavo, in Portugal’s Aveiro District, known for its proximity to the Ria de Aveiro lagoon.
  • D. Vila de Rei
    Vila de Rei is a small inland municipality in central Portugal known for its rural landscapes and its location near the country’s geodesic center.
  • E. São Bento do Cortiço
    São Bento do Cortiço is a small locality in Portugal that forms part of the civil parish of São Bento do Cortiço e Santo Estêvão.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d3541c8190a5a2aa9730260562 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.