Triple

T154130
Position Surface form Disambiguated ID Type / Status
Subject Global Polio Eradication Initiative E3140 entity
Predicate focusesOnDisease P31 FINISHED
Object poliomyelitis 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: poliomyelitis | Statement: [Global Polio Eradication Initiative, focusesOnDisease, poliomyelitis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnDisease
Context triple: [Global Polio Eradication Initiative, focusesOnDisease, poliomyelitis]
  • A. diagnosedWith
    Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
  • B. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. diseaseResistance
    Indicates how effectively one entity can prevent, withstand, or recover from harmful effects caused by a particular disease or pathogen in relation to another.
  • D. hasHealthConcern
    Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
  • E. notablyAssociatedWith
    Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a258e0b11c8190b7b5cf3c354c47ce completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a2565c727c8190bca9ba6ca52f216a completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.