Triple

T21525764
Position Surface form Disambiguated ID Type / Status
Subject JS17 E531091 entity
Predicate railwayLineCodeSeries P40231 FINISHED
Object JS 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: JS | Statement: [JS17, railwayLineCodeSeries, JS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railwayLineCodeSeries
Context triple: [JS17, railwayLineCodeSeries, JS]
  • A. railwayLineNumberingSystem
    Indicates a system that assigns and manages identifying numbers for railway lines within a rail network.
  • B. railwayLineNumber chosen
    Indicates the identifying number assigned to a specific railway line within a rail network.
  • C. railwayLine
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • D. hasRailwayLineNumber
    Indicates the specific identification number assigned to a railway line associated with an entity.
  • E. railwayLineType
    Indicates the specific kind or classification of a railway line associated with an entity (e.g., main line, branch line, high-speed line).
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee885073888190ae49f967f72acbf8 completed April 26, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:26 p.m.