Triple

T29108173
Position Surface form Disambiguated ID Type / Status
Subject KEGG pathways E736820 entity
Predicate hasRepresentationFormat P107278 FINISHED
Object KEGG pathway maps 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: KEGG pathway maps | Statement: [KEGG pathways, hasRepresentationFormat, KEGG pathway maps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRepresentationFormat
Context triple: [KEGG pathways, hasRepresentationFormat, KEGG pathway maps]
  • A. representsInFormat
    Indicates that one entity is expressed, encoded, or presented using the specific format defined by another entity.
  • B. hasFormatSpecification chosen
    Indicates that something is associated with a particular format definition or specification that describes how it should be structured or represented.
  • C. hasShowFormat
    Indicates that something (such as a show or program) is associated with or presented in a particular format or style.
  • D. hasSecondaryFormat
    Indicates that an entity is associated with an additional, alternative, or supplementary format beyond its primary format.
  • E. presentedInFormat
    Indicates that something is expressed, delivered, or made available using a particular format or representation.
  • 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_69f077ec765c81909474c88bcc8bab43 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69ffb97b8ff8819088b105d99a0820c9 completed May 9, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69ffb88ef7388190a710120ed76edc0e completed May 9, 2026, 10:43 p.m.
Created at: April 28, 2026, 11:16 a.m.