Triple

T879529
Position Surface form Disambiguated ID Type / Status
Subject Onge E18994 entity
Predicate language P15 FINISHED
Object Onge language E94356 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: Onge language | Statement: [Onge, language, Onge language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onge language
Context triple: [Onge, language, Onge language]
  • A. Ongan languages chosen
    The Ongan languages are a small family of indigenous languages spoken by the Ongan peoples of the Andaman Islands in the Indian Ocean.
  • B. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • C. Berom language
    The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
  • D. Kamviri language
    The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
  • E. Sabine language
    The Sabine language was an extinct Italic tongue once spoken by the ancient Sabine people of central Italy, closely related to other Osco-Umbrian languages.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85630f081909f3a912d54dd328c completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.