Triple

T2720753
Position Surface form Disambiguated ID Type / Status
Subject CPTM commuter rail E60073 entity
Predicate connectsMunicipality P4245 FINISHED
Object Osasco E310616 NE FINISHED

How this triple was built (3 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: Osasco | Statement: [CPTM commuter rail, connectsMunicipality, Osasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osasco
Context triple: [CPTM commuter rail, connectsMunicipality, Osasco]
  • A. Osasco chosen
    Osasco is a major industrial and commercial city in the metropolitan region of São Paulo, Brazil.
  • B. Guarulhos
    Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
  • C. Mogi das Cruzes
    Mogi das Cruzes is a municipality in southeastern Brazil known as part of the Greater São Paulo metropolitan area and recognized for its industrial activity and agricultural production.
  • D. São Bernardo do Campo
    São Bernardo do Campo is a major industrial city in Brazil known as a key center of the automotive industry within the São Paulo metropolitan area.
  • E. Barueri
    Barueri is a rapidly developing municipality in the São Paulo metropolitan area of Brazil, known for its strong commercial sector and high standard of living.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsMunicipality
Context triple: [CPTM commuter rail, connectsMunicipality, Osasco]
  • A. connectsCity chosen
    Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
  • B. connectsCountyTown
    Indicates a relationship where a county is linked or associated with a town, typically signifying that the town lies within or is administered by that county.
  • C. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • D. hasMunicipalPartnershipWith
    Indicates a formal cooperative or collaborative relationship established between two municipalities, typically involving shared projects, services, or governance initiatives.
  • E. municipalKey
    Indicates a unique identifier that links an entity to a specific municipality within an administrative or geographic system.
  • F. None of above.

Provenance (4 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab06d388190acf690787fe58ab5 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69b44ec039e881909660350b98d79ba1 completed March 13, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69abd8240920819087a812d816a55edb completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.