Triple

T13843570
Position Surface form Disambiguated ID Type / Status
Subject Queen Elizabeth Biosphere Reserve E332730 entity
Predicate supportsLivelihoods P96744 FINISHED
Object local communities 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: local communities | Statement: [Queen Elizabeth Biosphere Reserve, supportsLivelihoods, local communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsLivelihoods
Context triple: [Queen Elizabeth Biosphere Reserve, supportsLivelihoods, local communities]
  • A. livelihood
    Indicates that one entity serves as the primary means of support, income, or subsistence for another entity.
  • B. livelihoodChange
    Indicates a change in a person’s or group’s means of making a living, such as improvements, declines, or shifts in income-generating activities.
  • C. livelihoodVulnerability
    Indicates the degree to which an entity’s means of making a living are exposed or susceptible to harm, disruption, or loss.
  • D. supportsLife
    Indicates that one entity provides conditions or resources that allow another entity to live, grow, or remain biologically viable.
  • E. helpsSustain chosen
    Indicates that one entity contributes to maintaining, supporting, or prolonging the existence, condition, or operation of another.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
PD Predicate disambiguation batch_69dbc8691b608190a25a7c70a366b170 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:13 p.m.