Triple

T13431668
Position Surface form Disambiguated ID Type / Status
Subject Oluta Popoluca E313625 entity
Predicate isClassifiedBy 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: [Oluta Popoluca, isClassifiedBy, Ethnologue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethnologue
Context triple: [Oluta Popoluca, isClassifiedBy, 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398b828c8190a029a5862ae1fded completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.