Triple

T21612129
Position Surface form Disambiguated ID Type / Status
Subject Legazpi E533337 entity
Predicate hasColorForLine3 P34402 FINISHED
Object yellow 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: yellow | Statement: [Legazpi, hasColorForLine3, yellow]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasColorForLine3
Context triple: [Legazpi, hasColorForLine3, yellow]
  • A. hasLine3Code
    Indicates that an entity is associated with a specific third-line code, typically representing a tertiary or additional coding value in a multi-line or hierarchical code system.
  • B. isColorCodedLine
    Indicates that a line is represented or distinguished using specific colors according to a coding scheme.
  • C. networkColorOfLine chosen
    Indicates the color assigned to a specific line within a network (such as a transit or communication network).
  • D. hasTrimLineColor
    Indicates that an entity has a specific color applied to the trim or outline portion of its visual representation.
  • E. hasColorInfo
    Indicates that an entity is associated with specific color-related information or attributes.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba79424819094e9ee93c4bbcc0b completed April 27, 2026, 10:34 a.m.
PD Predicate disambiguation batch_69e69665fe8c8190af7e38785db188b2 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:33 p.m.