Triple

T11827880
Position Surface form Disambiguated ID Type / Status
Subject Beti-Fang languages E281303 entity
Predicate hasPart P35 FINISHED
Object Eton language E393743 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: Eton language | Statement: [Beti-Fang languages, hasPart, Eton language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eton language
Context triple: [Beti-Fang languages, hasPart, Eton language]
  • A. Eton language chosen
    Eton is a Bantu language of central Cameroon, closely related to Ewondo and spoken by the Eton people.
  • B. Norfuk language
    The Norfuk language is a creole tongue spoken primarily on Norfolk Island, blending 18th-century English and Tahitian influences and serving as a key marker of the island’s cultural identity.
  • C. Batuley language
    The Batuley language is an Austronesian language spoken by a small community in Indonesia’s Aru Islands.
  • D. Eonavian language
    Eonavian language is a Romance language variety spoken in the western coastal region of Asturias, Spain, sharing features with both Galician and Asturian.
  • E. Mortlockese language
    Mortlockese is an Austronesian language of the Chuukic branch spoken primarily in the Mortlock Islands of Chuuk State in the Federated States of Micronesia.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.