Triple

T30685524
Position Surface form Disambiguated ID Type / Status
Subject Malyn E781173 entity
Predicate railwayNetworkCountry P15232 FINISHED
Object Ukraine NE NERFINISHED

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: Ukraine | Statement: [Malyn, railwayNetworkCountry, Ukraine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railwayNetworkCountry
Context triple: [Malyn, railwayNetworkCountry, Ukraine]
  • A. isNationalRailwaySystemOf
    Indicates that one entity functions as the official national railway system serving and operating within the territory of another entity.
  • B. railwayOperatorCountry
    Indicates the country in which a given railway operator is based or operates.
  • C. roadNetworkCountryCode
    Indicates the country code associated with the road network in which the related entity or segment is located.
  • D. railwayNetworkLength
    Indicates the total measured length of all railway tracks within a specified railway network.
  • E. railwayRegion chosen
    Indicates a relationship where a railway or rail network is associated with, located in, or administered within a particular geographic region.
  • 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_69f224a92f54819095499b4d32bd5134 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 29, 2026, 8:33 p.m.