Triple

T28088707
Position Surface form Disambiguated ID Type / Status
Subject Estación 9 de Julio E709895 entity
Predicate servesCommuterFlows P132722 FINISHED
Object downtown Buenos Aires workers 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: downtown Buenos Aires workers | Statement: [Estación 9 de Julio, servesCommuterFlows, downtown Buenos Aires workers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesCommuterFlows
Context triple: [Estación 9 de Julio, servesCommuterFlows, downtown Buenos Aires workers]
  • A. hasCommuterServices chosen
    Indicates that a location or facility provides transportation services specifically intended for regular commuters, such as daily or frequent travelers between home and work or school.
  • B. operatesCommuterServiceBetween
    Indicates that an entity runs a commuter transportation service connecting two specified locations.
  • C. isCommuterService
    Indicates that a transportation service operates primarily to carry passengers on regular, often short-distance routes between residential areas and workplaces or other daily destinations.
  • D. includesCommuterSystem
    Indicates that one entity contains or incorporates a commuter transportation system as part of its structure or services.
  • E. hasCommuterTraffic
    Indicates that there is regular, recurring traffic flow associated with people traveling between their homes and places of work or study.
  • 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_69ef9b7037f0819095bb90eaccbcaf32 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69fd485f57dc8190820365396d041991 completed May 8, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69fd47d35da081908bec8901018d186c completed May 8, 2026, 2:17 a.m.
Created at: April 27, 2026, 8:57 p.m.