Triple

T12138455
Position Surface form Disambiguated ID Type / Status
Subject Oko languages E289120 entity
Predicate areDocumentedIn P519 FINISHED
Object Ethnologue E231982 NE 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: Ethnologue | Statement: [Oko languages, areDocumentedIn, Ethnologue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethnologue
Context triple: [Oko languages, areDocumentedIn, 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. SIL International
    SIL International is a global, faith-based nonprofit organization specializing in linguistic research, Bible translation, and support for minority and endangered languages.
  • E. World Atlas of Language Structures
    The World Atlas of Language Structures is a large-scale, comparative database and reference work that maps structural features of languages around the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.