Triple

T17122573
Position Surface form Disambiguated ID Type / Status
Subject Dobu E415504 entity
Predicate hasLanguage P15 FINISHED
Object Dobu language E439607 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: Dobu language | Statement: [Dobu, hasLanguage, Dobu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobu language
Context triple: [Dobu, hasLanguage, Dobu language]
  • A. Dobu language chosen
    Dobu language is an Austronesian language of the Papuan Tip region of Papua New Guinea, traditionally spoken by the Dobu people and used as a local lingua franca.
  • B. Dobbi language
    The Dobbi language is an Ethiopian Semitic language spoken by the Gurage people as part of the broader Gurage language group.
  • C. Dibo language
    The Dibo language is a Nupoid language spoken by the Dibo people of central Nigeria.
  • D. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • E. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80ac2cc819084fab829917c950a completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a1062fc8190b1c4e97f42cf3faa completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.