Triple

T22995495
Position Surface form Disambiguated ID Type / Status
Subject Recife public transport network E572176 entity
Predicate busOperators P14541 FINISHED
Object multiple private bus companies under concession LITERAL 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: multiple private bus companies under concession | Statement: [Recife public transport network, busOperators, multiple private bus companies under concession]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: busOperators
Context triple: [Recife public transport network, busOperators, multiple private bus companies under concession]
  • A. publicTransportOperatorFor
    Indicates that one entity operates or manages public transportation services for another entity or area.
  • B. transportOperator
    Indicates that an entity is responsible for operating or managing the transportation of people or goods between locations.
  • C. hasBusOperator chosen
    Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
  • D. hasRailTransportOperator
    Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
  • E. tramOperator
    Indicates that one entity operates, manages, or runs tram services for another entity or area.
  • F. None of above.

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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f25af48190a98b7baeec824ae6 completed April 29, 2026, 4:02 a.m.
PD Predicate disambiguation batch_69ef3b974e7c8190b8be11dbb4518693 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:50 p.m.