Triple

T37423655
Position Surface form Disambiguated ID Type / Status
Subject Ainola railway station E929929 entity
Predicate servesCommuterLines P95592 FINISHED
Object R 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: R | Statement: [Ainola railway station, servesCommuterLines, R]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesCommuterLines
Context triple: [Ainola railway station, servesCommuterLines, R]
  • A. servesCommuterRailLine chosen
    Indicates that a location or facility provides access to and is a stop or station for a commuter rail line.
  • B. hasCommuterServices
    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.
  • C. operatesCommuterServiceBetween
    Indicates that an entity runs a commuter transportation service connecting two specified locations.
  • D. railroadLineServed
    Indicates that a particular railroad line provides service to, or operates through, a given location or facility.
  • E. 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.
  • 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_69f76ebf0f288190ba198a78341613b8 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a00708ab11081909641d245c4282aa0 completed May 10, 2026, 11:48 a.m.
PD Predicate disambiguation batch_6a00703daa0081908903ce3a28084d35 completed May 10, 2026, 11:47 a.m.
Created at: May 3, 2026, 4:16 p.m.