Triple

T38641200
Position Surface form Disambiguated ID Type / Status
Subject Collie eye anomaly E938597 entity
Predicate causativeGene P149311 FINISHED
Object NHEJ1 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: NHEJ1 | Statement: [Collie eye anomaly, causativeGene, NHEJ1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causativeGene
Context triple: [Collie eye anomaly, causativeGene, NHEJ1]
  • A. isPrimaryGeneticCauseOf chosen
    Indicates that one genetic factor is the main or predominant cause responsible for producing a particular condition, trait, or outcome.
  • B. hasGeneticLocus
    Indicates that a genetic feature or trait is located at, or associated with, a specific position (locus) on a genome or chromosome.
  • C. geneticFindings
    Indicates that there is information describing observed genetic variants, mutations, or other genomic characteristics identified in an entity.
  • D. geneticallyLinkedTo
    Indicates a relationship where two entities share a genetic connection, such as common ancestry, shared genes, or hereditary association.
  • E. protectiveAlleleForDisease
    Indicates that the presence of a specific allele reduces the risk, severity, or likelihood of developing a particular disease.
  • 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_69f76ed948ec81908ce7811608a8f359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.