Triple

T4945914
Position Surface form Disambiguated ID Type / Status
Subject insulin E111048 entity
Predicate resistanceAssociatedWith P2830 FINISHED
Object type 2 diabetes mellitus 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: type 2 diabetes mellitus | Statement: [insulin, resistanceAssociatedWith, type 2 diabetes mellitus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resistanceAssociatedWith
Context triple: [insulin, resistanceAssociatedWith, type 2 diabetes mellitus]
  • A. typeOfResistance
    Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
  • B. resistedIn
    Indicates that an entity actively opposed, withstood, or fought against something within a specific context, event, or location.
  • C. associatedForce
    Indicates that there is a force linked or connected to an entity, typically representing the physical influence acting on or exerted by that entity.
  • D. isAssociatedWith chosen
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • E. associatedWithStruggle
    Indicates a relationship in which an entity is connected to, involved in, or characterized by a particular struggle, conflict, or hardship.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
PD Predicate disambiguation batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:31 p.m.