Triple

T11999464
Position Surface form Disambiguated ID Type / Status
Subject Gcaleka Xhosa E285618 entity
Predicate ethnolect P64609 FINISHED
Object Xhosa language 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: Xhosa language | Statement: [Gcaleka Xhosa, ethnolect, Xhosa language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnolect
Context triple: [Gcaleka Xhosa, ethnolect, Xhosa language]
  • A. belongsToEthnolectContinuum
    Indicates that a language variety is part of a continuous range of related ethnolects, with gradual transitions rather than clear-cut boundaries between them.
  • B. 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.
  • C. ethnonym
    Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
  • D. partOfLinguisticVariety chosen
    Indicates that one linguistic variety (such as a dialect, register, or style) is a constituent or subset of another, broader linguistic variety.
  • E. ethnoLinguisticRegionOf
    Indicates that a region is defined or characterized by the shared ethnic and linguistic identity of the group associated with it.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902b245cc8190af96a9c2bd9c6250 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:46 p.m.