Triple

T30409593
Position Surface form Disambiguated ID Type / Status
Subject Inhoaíba E773575 entity
Predicate transportNetworkOfWiderRegion P35909 FINISHED
Object served by Rio de Janeiro urban transport network 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: served by Rio de Janeiro urban transport network | Statement: [Inhoaíba, transportNetworkOfWiderRegion, served by Rio de Janeiro urban transport network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportNetworkOfWiderRegion
Context triple: [Inhoaíba, transportNetworkOfWiderRegion, served by Rio de Janeiro urban transport network]
  • A. transportNetwork
    Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
  • B. transportNetworkPartOf
    Indicates that one transport network is a component or subdivision of a larger, encompassing transport network.
  • C. transportCorridor
    Indicates a route or pathway used to move people, goods, or resources between locations.
  • D. shareTransportInfrastructure
    Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
  • E. transportationRegion chosen
    Indicates that one entity serves as, or is associated with, a geographic region relevant to the transportation activities or coverage of another entity.
  • 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_69f22490b8b48190ab10c886a8d58c89 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fddac4e2f48190a9301d3422658b29 completed May 8, 2026, 12:44 p.m.
PD Predicate disambiguation batch_69fdda06969c8190b5d033964ea2a690 completed May 8, 2026, 12:41 p.m.
Created at: April 29, 2026, 8:04 p.m.