Triple

T6004876
Position Surface form Disambiguated ID Type / Status
Subject SOD1 E133684 entity
Predicate orthologOf P51609 FINISHED
Object mouse Sod1 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: mouse Sod1 | Statement: [SOD1, orthologOf, mouse Sod1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orthologOf
Context triple: [SOD1, orthologOf, mouse Sod1]
  • A. hasOrthologsWith chosen
    Indicates that two genes or proteins in different species are orthologous, meaning they originated from a common ancestral gene and typically retain similar functions.
  • B. percentageHumanGenesWithOrthologs
    Indicates the proportion of human genes that have corresponding orthologous genes in another species or set of species.
  • C. relatedSpeciesOrVariant
    Indicates that one species or biological variant is taxonomically or genetically related to another.
  • D. hasSynapomorphy
    Indicates that two or more taxa share a derived character state inherited from their most recent common ancestor, distinguishing that clade from others.
  • E. cognateOf
    Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f10d18081908c351170b7f58d3d completed March 22, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69c049e3316c819087ea635fa7ee8472 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:06 p.m.