Triple

T12489482
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Region of Campinas E298523 entity
Predicate hasMunicipality P847 FINISHED
Object Pedreira E294684 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: Pedreira | Statement: [Metropolitan Region of Campinas, hasMunicipality, Pedreira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pedreira
Context triple: [Metropolitan Region of Campinas, hasMunicipality, Pedreira]
  • A. Pedreira chosen
    Pedreira is a municipality in the state of São Paulo, Brazil, known for its ceramics industry and decorative household goods.
  • B. Capileira
    Capileira is a picturesque mountain village in Spain’s Alpujarras region, known for its traditional whitewashed houses and dramatic location on the southern slopes of the Sierra Nevada.
  • C. Cabeceiras de Basto
    Cabeceiras de Basto is a small municipality in northern Portugal known for its rural landscapes, traditional Minho architecture, and cultural heritage.
  • D. Achada do Teixeira
    Achada do Teixeira is a popular mountain plateau and viewpoint in Madeira, Portugal, serving as a main access point for hikes into the island’s central highlands.
  • E. Cabaceiras
    Cabaceiras is a historic town in the Brazilian state of Paraíba, known for its well-preserved colonial architecture and frequent use as a filming location for movies and television.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de1db9481909ddf70eb81cdb714 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba9e1108190b74984d9da9baebe completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.