Triple

T19881448
Position Surface form Disambiguated ID Type / Status
Subject Gyeongchun Line E477782 entity
Predicate doubleTrack P100755 FINISHED
Object yes 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: yes | Statement: [Gyeongchun Line, doubleTrack, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doubleTrack
Context triple: [Gyeongchun Line, doubleTrack, yes]
  • A. nonSingleTrack
    Indicates that the subject is associated with more than one track or path, rather than being limited to a single track.
  • B. hasTwoTracks chosen
    Indicates that the subject possesses or is associated with exactly two distinct tracks or pathways.
  • C. doubleCrosses
    Indicates that one party betrays another by secretly switching allegiance or undermining them after initially appearing loyal.
  • D. track
    Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
  • E. doubleBarrelled
    Indicates that an entity has a compound or two-part form (often a name or identifier) joined together as a single unit.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:52 p.m.