Triple

T18069180
Position Surface form Disambiguated ID Type / Status
Subject Montgomery, West Virginia E432374 entity
Predicate hasPublicTransportHistory P31014 FINISHED
Object served by Chesapeake and Ohio Railway 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 Chesapeake and Ohio Railway | Statement: [Montgomery, West Virginia, hasPublicTransportHistory, served by Chesapeake and Ohio Railway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicTransportHistory
Context triple: [Montgomery, West Virginia, hasPublicTransportHistory, served by Chesapeake and Ohio Railway]
  • A. hasPublicTransportUsage
    Indicates that an entity makes use of, or is associated with the use of, public transportation services.
  • B. hasTramHistory
    Indicates that there exists a historical association or record of tram-related activity or infrastructure involving the subject.
  • C. hasFormOfPublicTransit
    Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
  • D. hasPublicTransitMode chosen
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • E. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccebff748190b41d2edd93994c67 completed April 19, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e3f90c652481908133a73106d78919 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:26 a.m.