Triple

T22693615
Position Surface form Disambiguated ID Type / Status
Subject Teglutik E561110 entity
Predicate targetsDiseaseProcess P88547 FINISHED
Object motor neuron degeneration in ALS 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: motor neuron degeneration in ALS | Statement: [Teglutik, targetsDiseaseProcess, motor neuron degeneration in ALS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetsDiseaseProcess
Context triple: [Teglutik, targetsDiseaseProcess, motor neuron degeneration in ALS]
  • A. targetsDiseaseVector
    Indicates that an entity is directed at, designed to affect, or intended to control a particular disease-carrying vector organism.
  • B. 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.
  • C. targetsPathophysiology chosen
    Indicates that an intervention, agent, or process is specifically directed at modifying or influencing a particular disease mechanism or pathological process.
  • D. humanDisease
    Indicates that the subject is a disease that affects humans.
  • E. diseaseUsed
    Indicates that a particular disease is employed or utilized as a tool, model, or condition within a given context or process.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789c6ae481908975b7d27e7624ac completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62b2259c819091ed1387a748b9f3 completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:13 p.m.