Triple

T14010574
Position Surface form Disambiguated ID Type / Status
Subject Nupoid E337065 entity
Predicate hasClassificationAuthority P25488 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: [Nupoid, hasClassificationAuthority, Ethnologue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethnologue
Context triple: [Nupoid, hasClassificationAuthority, 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.