Triple

T36600545
Position Surface form Disambiguated ID Type / Status
Subject APHINITY E902901 entity
Predicate HER2StatusInclusion P186064 FINISHED
Object HER2-positive 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: HER2-positive | Statement: [APHINITY, HER2StatusInclusion, HER2-positive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: HER2StatusInclusion
Context triple: [APHINITY, HER2StatusInclusion, HER2-positive]
  • A. hormoneReceptorStatusInclusion
    Indicates that inclusion in a group, study, or category is determined based on the hormone receptor status of the relevant biological sample or subject.
  • B. isTumorAgnostic
    Indicates that a treatment, biomarker, or effect applies across multiple tumor types regardless of the cancer’s tissue or organ of origin.
  • C. hasPrognosticFactor
    Indicates that something serves as a factor influencing or predicting the likely outcome or course of a condition, event, or situation.
  • D. usedAsBiomarkerFor
    Indicates that one entity serves as a biomarker for another entity, typically signaling the presence, progression, or risk of a specific condition or biological state.
  • E. Ki67Significance
    Indicates the relationship between Ki-67 expression levels and their interpreted significance for cell proliferation, tumor aggressiveness, or clinical outcome.
  • F. None of above. chosen

Provenance (4 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c83f5960819089610ed39c839678 completed May 3, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69f7c477a4d481908f52e55b6688f60c completed May 3, 2026, 9:56 p.m.
PDg Predicate description generation batch_69f7c776b4088190bef550c869da530d completed May 3, 2026, 10:08 p.m.
Created at: May 3, 2026, 4:11 p.m.