Triple

T14392008
Position Surface form Disambiguated ID Type / Status
Subject Bachama E356864 entity
Predicate neighboringGroup P5965 FINISHED
Object Jukun E359929 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: Jukun | Statement: [Bachama, neighboringGroup, Jukun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jukun
Context triple: [Bachama, neighboringGroup, Jukun]
  • A. Jukun
    The Jukun are an Indigenous Australian people traditionally associated with parts of the Kimberley region in Western Australia.
  • B. Jukun chosen
    The Jukun are an ethnic group of central Nigeria, historically associated with the Kwararafa confederacy and primarily found in present-day Taraba and surrounding states.
  • C. Kawa
    Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
  • D. Kawa
    Kawa is an indigenous subgroup of the Waic people, known for its distinct cultural and linguistic identity within this broader ethnic group.
  • E. Beni River
    The Beni River is a major waterway in northern Bolivia that flows through the Amazon Basin, supporting rich biodiversity and local communities along its course.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.