Triple

T29600514
Position Surface form Disambiguated ID Type / Status
Subject Egerland E754427 entity
Predicate relatedEthnographicGroup P1969 FINISHED
Object Egerländer 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: Egerländer | Statement: [Egerland, relatedEthnographicGroup, Egerländer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedEthnographicGroup
Context triple: [Egerland, relatedEthnographicGroup, Egerländer]
  • A. relatedEthnicGroup chosen
    Indicates that there is a notable ethnic connection or association between two ethnic groups, such as shared ancestry, culture, or historical ties.
  • B. nearEthnicGroup
    Indicates that one entity is located geographically close to an ethnic group.
  • 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. ethnicGroupBase
    Indicates that one entity serves as the primary or foundational ethnic group from which another entity is derived, associated, or defined.
  • E. ethnolinguisticGroups
    Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
  • 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_69f0ef84e5d08190a0df17f5930ceed3 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_6a017e7bdfe481909cb4d5bdede6035e completed May 11, 2026, 7 a.m.
PD Predicate disambiguation batch_6a017defee108190bdf5f98dc415b250 completed May 11, 2026, 6:57 a.m.
Created at: April 28, 2026, 6:21 p.m.