Triple

T36600546
Position Surface form Disambiguated ID Type / Status
Subject APHINITY E902901 entity
Predicate hormoneReceptorStatusInclusion P185605 FINISHED
Object hormone receptor–positive or hormone receptor–negative 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: hormone receptor–positive or hormone receptor–negative | Statement: [APHINITY, hormoneReceptorStatusInclusion, hormone receptor–positive or hormone receptor–negative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hormoneReceptorStatusInclusion
Context triple: [APHINITY, hormoneReceptorStatusInclusion, hormone receptor–positive or hormone receptor–negative]
  • A. containsHormoneType
    Indicates that one entity includes or is associated with a specific type or category of hormone.
  • B. receptorSubtype
    Indicates that one receptor is a specific subtype or variant within the broader class defined by another receptor.
  • C. receptorTypeInteractedWith
    Indicates that one entity has interacted with, bound to, or otherwise engaged a specific type of receptor.
  • D. isTherapeuticTargetIn
    Indicates that a biological entity (e.g., gene, protein, pathway) is used or proposed as a therapeutic target within a specified disease, condition, or treatment context.
  • E. targetsReceptor
    Indicates that one entity is directed toward, binds to, or is designed to act upon a specific receptor.
  • 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_69f7c30c8a0c819080129402f7c3f0c8 completed May 3, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69f7c1bbf5848190a698fdbec307886a completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c237bd1881908a00ea5ea17e7660 completed May 3, 2026, 9:46 p.m.
Created at: May 3, 2026, 4:11 p.m.