Triple

T34966782
Position Surface form Disambiguated ID Type / Status
Subject Isoko North/Isoko South E1008421 entity
Predicate ethnolinguisticGroupRepresented P46225 FINISHED
Object Isoko 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: Isoko | Statement: [Isoko North/Isoko South, ethnolinguisticGroupRepresented, Isoko]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnolinguisticGroupRepresented
Context triple: [Isoko North/Isoko South, ethnolinguisticGroupRepresented, Isoko]
  • A. ethnolinguisticGroups chosen
    Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
  • B. ethnolinguisticGroupSize
    Indicates the number of individuals belonging to a particular ethnolinguistic group.
  • C. 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.
  • D. numberOfEthnicGroupsRepresented
    Indicates the count of distinct ethnic groups that are present or represented in a given context or entity.
  • E. 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.
  • 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_69f76dc78a308190a1ac29ad4a9a4895 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78710282c81909146dc0be91e983f completed May 3, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f784162134819098413482ef52042f completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4 p.m.