Triple

T36618909
Position Surface form Disambiguated ID Type / Status
Subject ERBB4 E903678 entity
Predicate hasAlternativeSplicing P170165 FINISHED
Object multiple isoforms 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: multiple isoforms | Statement: [ERBB4, hasAlternativeSplicing, multiple isoforms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlternativeSplicing
Context triple: [ERBB4, hasAlternativeSplicing, multiple isoforms]
  • A. alternativeSplicingFeature
    Indicates that a genomic region or element participates in an alternative splicing event, distinguishing it as a feature involved in generating splice variants.
  • B. hasIsoform chosen
    Indicates that one biological variant or form of a molecule, typically a protein or gene product, is an alternative isoform of another.
  • C. hasShortIntrons
    Indicates that the entity possesses introns whose lengths are relatively short compared to a defined standard or typical intron size.
  • D. hasAlternativeAnalyses
    Indicates that an entity is associated with one or more different or optional analyses that can be considered as alternatives to a primary analysis.
  • E. hasAlternativeHypothesisLocation
    Indicates that there is another possible location proposed as an alternative to the primary hypothesized location.
  • 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_69f76e6960e4819092047756ceb9a17e completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fe1fd637c08190aa95cd2478c278cb completed May 8, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69fe19344bb481909b5e2144155e4add completed May 8, 2026, 5:11 p.m.
Created at: May 3, 2026, 4:11 p.m.