Triple

T16080343
Position Surface form Disambiguated ID Type / Status
Subject Galguduud E390091 entity
Predicate hasHumanitarianChallenges P43054 FINISHED
Object drought 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: drought | Statement: [Galguduud, hasHumanitarianChallenges, drought]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHumanitarianChallenges
Context triple: [Galguduud, hasHumanitarianChallenges, drought]
  • A. humanitarianCrisis
    Indicates a situation in which a population faces severe, widespread threats to life, health, or basic living conditions that require urgent humanitarian assistance.
  • B. hasHumanitarianAspect chosen
    Indicates that something involves, relates to, or has implications for humanitarian concerns such as human welfare, relief, or the protection of human rights.
  • C. hasHumanitarianPresence
    Indicates that a humanitarian organization or effort is present and actively operating in relation to the referenced entity.
  • D. humanitarianAccess
    Indicates that humanitarian actors are able to reach affected populations and deliver assistance safely, reliably, and without obstruction.
  • E. internationalAid
    Indicates the provision of assistance or resources from one country or international entity to another, typically to support development, relief, or crisis response.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1827ad7c88190b867da511cbfb7fa completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:57 a.m.