Triple

T23741338
Position Surface form Disambiguated ID Type / Status
Subject Jarawan Bantu languages E586679 entity
Predicate haveGlottologClassificationStatus P28208 FINISHED
Object uncertain 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: uncertain | Statement: [Jarawan Bantu languages, haveGlottologClassificationStatus, uncertain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveGlottologClassificationStatus
Context triple: [Jarawan Bantu languages, haveGlottologClassificationStatus, uncertain]
  • A. glottologStatus chosen
    Indicates the classification or status of a language or dialect as defined in the Glottolog database.
  • B. hasGlottologEntry
    Indicates that there exists a corresponding entry for the entity in the Glottolog linguistic database.
  • C. hasGlottologName
    Indicates that an entity is associated with a specific name as recorded in the Glottolog linguistic database.
  • D. hasGlottologReference
    Indicates that an entity is associated with a specific reference entry in the Glottolog linguistic database.
  • E. glottocode
    Indicates the standardized Glottolog code that uniquely identifies the language or dialect associated with an 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_69e24908efb08190bf755c3a9b91f222 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bad61d908190a0a8493bbba95d49 completed April 29, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69f155f012808190a4b1cbc155558ade completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 7:11 p.m.