Triple

T22933795
Position Surface form Disambiguated ID Type / Status
Subject Loinang E569516 entity
Predicate isRecognizedBy P310 FINISHED
Object Ethnologue 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: Ethnologue | Statement: [Loinang, isRecognizedBy, Ethnologue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethnologue
Context triple: [Loinang, isRecognizedBy, Ethnologue]
  • A. Ethnologue chosen
    Ethnologue is a comprehensive reference work that catalogs and provides detailed information on the world’s known living languages.
  • B. Glottolog
    Glottolog is a comprehensive bibliographic and classification database of the world’s languages and dialects, maintained by linguists at the Max Planck Institute.
  • C. The Atlas of Languages
    The Atlas of Languages is a comprehensive reference work that surveys the world’s linguistic diversity, mapping and describing languages, language families, and their global distribution.
  • D. Language Isolates of the World
    Language Isolates of the World is a scholarly reference work that surveys and analyzes the world’s language isolates, detailing their structures, histories, and classification issues.
  • E. FieldWorks Language Explorer
    FieldWorks Language Explorer is a software tool used by linguists and language workers to document, analyze, and manage data on lesser-described and minority languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.