Triple

T7026902
Position Surface form Disambiguated ID Type / Status
Subject Gwangju Metro E162970 entity
Predicate hasColorForLine1 P34402 FINISHED
Object green 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: green | Statement: [Gwangju Metro, hasColorForLine1, green]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasColorForLine1
Context triple: [Gwangju Metro, hasColorForLine1, green]
  • A. hasColorOption
    Indicates that an entity offers or supports a particular color as one of its selectable options.
  • B. hasColorInfo
    Indicates that an entity is associated with specific color-related information or attributes.
  • C. hasColorSymbol
    Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
  • D. networkColorOfLine chosen
    Indicates the color assigned to a specific line within a network (such as a transit or communication network).
  • E. hasColorRange
    Indicates that an entity possesses or is associated with a specific span or set of colors, rather than a single discrete color.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69c6e1b9a2488190aea351d96afa5a12 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:35 p.m.