Triple

T22690604
Position Surface form Disambiguated ID Type / Status
Subject BTK E561038 entity
Predicate isTherapeuticTargetIn P149282 FINISHED
Object B cell malignancies 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: B cell malignancies | Statement: [BTK, isTherapeuticTargetIn, B cell malignancies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTherapeuticTargetIn
Context triple: [BTK, isTherapeuticTargetIn, B cell malignancies]
  • A. hasMolecularTarget
    Indicates that one entity (such as a drug or compound) is directed toward, binds to, or specifically interacts with a particular molecular target (such as a protein, receptor, or gene).
  • B. regulatoryTarget
    Indicates that one entity is subject to control, influence, or governance by another entity under a regulatory or rule-based framework.
  • C. hasTargetDisease
    Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
  • D. potentialTherapeuticUse
    Indicates that something is being considered or investigated as a possible treatment or therapy for a condition or disease.
  • E. coreTherapeuticArea
    Indicates the primary medical or clinical domain in which a therapy, treatment, or product is principally intended to be used.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789a1fd08190bce5fa0babe695d3 completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62b2259c819091ed1387a748b9f3 completed April 26, 2026, 7:08 p.m.
PDg Predicate description generation batch_69ee8843d3308190b6e22bb98ae5c3d8 completed April 26, 2026, 9:48 p.m.
Created at: April 17, 2026, 3:13 p.m.