Triple

T19311242
Position Surface form Disambiguated ID Type / Status
Subject Rui Patrício E482972 entity
Predicate placeOfBirth P1 FINISHED
Object Regueira de Pontes E716727 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: Regueira de Pontes | Statement: [Rui Patrício, placeOfBirth, Regueira de Pontes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regueira de Pontes
Context triple: [Rui Patrício, placeOfBirth, Regueira de Pontes]
  • A. Arcos de Valdevez chosen
    Arcos de Valdevez is a historic town and municipality in northern Portugal known for its scenic Minho landscapes, traditional architecture, and cultural heritage.
  • B. Marco de Canaveses
    Marco de Canaveses is a municipality in northern Portugal known for its scenic river landscapes, including its location along the Tâmega River, and notable contemporary architecture such as works by Álvaro Siza Vieira.
  • C. Eixão
    Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
  • D. Pedrógão
    Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cd270c819094fd2faa0681d2ad completed April 20, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07145fa1e881909813ed6825d38e2c completed May 15, 2026, 12:41 p.m.
Created at: April 10, 2026, 1:32 p.m.