Triple

T154589
Position Surface form Disambiguated ID Type / Status
Subject WHO Regional Office for Africa E3149 entity
Predicate respondedTo P767 FINISHED
Object Ebola virus disease outbreaks in West Africa 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: Ebola virus disease outbreaks in West Africa | Statement: [WHO Regional Office for Africa, respondedTo, Ebola virus disease outbreaks in West Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: respondedTo
Context triple: [WHO Regional Office for Africa, respondedTo, Ebola virus disease outbreaks in West Africa]
  • A. wasResponseTo chosen
    Indicates that one event, action, or communication occurred as a direct reply or reaction to a preceding event, action, or communication.
  • B. correspondedWith
    Indicates that two entities engaged in mutual communication, typically by exchanging messages or letters over a period of time.
  • C. receivedSupportFrom
    Indicates that one entity obtained help, resources, or backing from another entity.
  • D. respondsTo
    Indicates that one entity replies or reacts to a message, action, or stimulus originating from another entity.
  • E. enactedInResponseTo
    Indicates that one action, policy, or measure was carried out as a direct reaction to a specific prior event, condition, or stimulus.
  • 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.