Triple

T4771166
Position Surface form Disambiguated ID Type / Status
Subject Wegener's granulomatosis E105929 entity
Predicate associatedWithAntibody P58679 FINISHED
Object anti-proteinase 3 antibody 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: anti-proteinase 3 antibody | Statement: [Wegener's granulomatosis, associatedWithAntibody, anti-proteinase 3 antibody]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithAntibody
Context triple: [Wegener's granulomatosis, associatedWithAntibody, anti-proteinase 3 antibody]
  • A. associatedWithAnimal
    Indicates a relationship where an entity has a connection, link, or relevance to an animal.
  • B. isAssociatedWith
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • C. associatedWithSee
    Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
  • D. associatedWithMatch
    Indicates a relationship where an entity is linked or connected to a particular match or matching event.
  • E. associatedWithFront
    Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face of another entity.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655e5dcc8190a932be9b1baaffb2 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
PDg Predicate description generation batch_69bd6508e218819086a36236cfa4a249 completed March 20, 2026, 3:17 p.m.
Created at: March 20, 2026, 1:21 p.m.