Triple

T17378318
Position Surface form Disambiguated ID Type / Status
Subject Onge people E422498 entity
Predicate governmentPolicyImpact P2153 FINISHED
Object settlement in government camps 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: settlement in government camps | Statement: [Onge people, governmentPolicyImpact, settlement in government camps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentPolicyImpact
Context triple: [Onge people, governmentPolicyImpact, settlement in government camps]
  • A. federalPolicyImpact
    Indicates how a federal government policy influences, alters, or determines outcomes for the related entities or conditions.
  • B. legislativeImpact
    Indicates the effect that a law or legislative action has on a policy, entity, or outcome.
  • C. influencedPolicyArea
    Indicates that one entity has affected, shaped, or guided the development, direction, or implementation of a particular policy area associated with another entity.
  • D. governmentFunctionAffected
    Indicates that a particular government function, role, or operation is impacted, altered, or disrupted by another entity or event.
  • E. governmentInvolvement chosen
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6ea56c8190b56d966ccf2c91f7 completed April 19, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69e3b02ac8688190a7182f1b2151d721 completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:45 a.m.