Triple

T32445127
Position Surface form Disambiguated ID Type / Status
Subject BKN E829121 entity
Predicate informationSystemUsage P159713 FINISHED
Object used in online railway enquiry systems 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: used in online railway enquiry systems | Statement: [BKN, informationSystemUsage, used in online railway enquiry systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: informationSystemUsage
Context triple: [BKN, informationSystemUsage, used in online railway enquiry systems]
  • A. usedByInformationSystems chosen
    Indicates that something (such as a resource, method, or component) is utilized or operated by information systems.
  • B. technologyUse
    Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
  • C. platformUsage
    Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
  • D. technologyUsedFor
    Indicates that a particular technology is employed or applied to accomplish, support, or enable a specific purpose, task, or function.
  • E. usageType
    Indicates the specific manner, purpose, or context in which something is used or intended to be used.
  • 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_69f3491d2e5c819092b1c9535beff8ec completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c2e5a0ec819098203f775adb5d03 completed May 3, 2026, 3:37 a.m.
PD Predicate disambiguation batch_69f6ba6eb32c8190bf405b2011fa48f7 completed May 3, 2026, 3:01 a.m.
Created at: May 1, 2026, 12:55 a.m.