Triple

T8081784
Position Surface form Disambiguated ID Type / Status
Subject Pimbwe people E188631 entity
Predicate livelihoodVulnerability P80394 FINISHED
Object sensitive to environmental variability around Lake Rukwa 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: sensitive to environmental variability around Lake Rukwa | Statement: [Pimbwe people, livelihoodVulnerability, sensitive to environmental variability around Lake Rukwa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: livelihoodVulnerability
Context triple: [Pimbwe people, livelihoodVulnerability, sensitive to environmental variability around Lake Rukwa]
  • A. livelihood
    Indicates that one entity serves as the primary means of support, income, or subsistence for another entity.
  • B. agriculturalDependence
    Indicates that one entity relies on another for agricultural resources, production, or support.
  • C. humanitarianCrisis
    Indicates a situation in which a population faces severe, widespread threats to life, health, or basic living conditions that require urgent humanitarian assistance.
  • D. humanImpact
    Indicates the effect or influence that human activities have on another entity, system, or environment.
  • E. hasNaturalHazardRisk
    Indicates that an entity is exposed or subject to potential damage or impact from one or more natural hazards (e.g., earthquakes, floods, storms).
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a699388190a5b8e26524ae43e5 completed March 31, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69cb049f1614819087360d1a4c6f0faa completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14be17208190bb51c3dfcb613f20 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:28 p.m.