Triple

T21983802
Position Surface form Disambiguated ID Type / Status
Subject Nova Cruz microregion E542904 entity
Predicate hasSettlement P1068 FINISHED
Object Serra de São Bento NE NERFINISHED

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: Serra de São Bento | Statement: [Nova Cruz microregion, hasSettlement, Serra de São Bento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serra de São Bento
Context triple: [Nova Cruz microregion, hasSettlement, Serra de São Bento]
  • A. Serra de São Bento chosen
    Serra de São Bento is a small municipality in the state of Rio Grande do Norte, Brazil, known for its mountainous landscapes and rural character.
  • B. Serra da Gardunha
    Serra da Gardunha is a mountain range in central Portugal known for its natural landscapes, chestnut groves, and hiking trails near the town of Fundão.
  • C. Serra do Açor
    Serra do Açor is a mountainous region in central Portugal known for its rugged landscapes, schist villages, and rich natural and cultural heritage.
  • D. Serra do Buçaco
    Serra do Buçaco is a forested mountain range in central Portugal known for its rich biodiversity, historic convent, and role as a strategic site during the Peninsular War.
  • E. Serra do Caldeirão
    Serra do Caldeirão is a mountain range in southern Portugal known for its rolling hills, cork oak forests, and traditional rural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12708055c8190b626ce244e368296 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.