Triple

T36375461
Position Surface form Disambiguated ID Type / Status
Subject Onicha-Uku E895886 entity
Predicate inferredEthnolinguisticGroup P46225 FINISHED
Object Igbo people NE NERFINISHED

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: Igbo people | Statement: [Onicha-Uku, inferredEthnolinguisticGroup, Igbo people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inferredEthnolinguisticGroup
Context triple: [Onicha-Uku, inferredEthnolinguisticGroup, Igbo people]
  • A. ethnolinguisticGroups chosen
    Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
  • B. ethnicGroupClassifiedAs
    Indicates that an ethnic group is categorized or designated as belonging to a particular classification or type of ethnic grouping.
  • C. ethnicOrCulturalGroup
    Indicates that one entity belongs to, is associated with, or is characterized by a particular ethnic or cultural group represented by the other entity.
  • D. nearEthnicGroup
    Indicates that one entity is located geographically close to an ethnic group.
  • E. ethnolinguisticCluster
    Indicates a relationship where entities are grouped together based on shared ethnic and linguistic characteristics, treating them as part of the same ethnolinguistic cluster.
  • 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_69f76e5115588190ad8738860b7bc68b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb3ff1b08190802b1063d55d3923 completed May 3, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69f7b9a611a081908dd6aec1df3f4d7f completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:10 p.m.