Triple

T13097039
Position Surface form Disambiguated ID Type / Status
Subject Osasco E310616 entity
Predicate borderedBy P224 FINISHED
Object Taboão da Serra E293508 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: Taboão da Serra | Statement: [Osasco, borderedBy, Taboão da Serra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taboão da Serra
Context triple: [Osasco, borderedBy, Taboão da Serra]
  • A. Taboão da Serra chosen
    Taboão da Serra is a densely populated municipality in the São Paulo metropolitan area in southeastern Brazil.
  • B. Pampilhosa da Serra
    Pampilhosa da Serra is a small municipality in central Portugal known for its mountainous landscapes, schist villages, and forested river valleys.
  • C. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • D. Poço das Antas
    Poço das Antas is a small municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its rural landscape and agricultural activities.
  • E. Jandira
    Jandira is a municipality in the state of São Paulo, Brazil, located in the metropolitan region near the city of Barueri.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5cd9f2081908c207b21a14233e1 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:04 p.m.