Triple

T13554193
Position Surface form Disambiguated ID Type / Status
Subject Thuɔŋjäŋ E323726 entity
Predicate closelyRelatedTo P37 FINISHED
Object Atuot language E247235 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: Atuot language | Statement: [Thuɔŋjäŋ, closelyRelatedTo, Atuot language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atuot language
Context triple: [Thuɔŋjäŋ, closelyRelatedTo, Atuot language]
  • A. Atuot language chosen
    The Atuot language is a Western Nilotic language spoken by the Atuot people of South Sudan, closely related to Nuer and Dinka.
  • B. Atorada language
    The Atorada language is an indigenous Arawakan language of South America, closely associated with the Wapishana people and now highly endangered or possibly extinct.
  • C. Atoni language
    The Atoni language, also known as Dawan, is an Austronesian language spoken primarily by the Atoni people of West Timor in Indonesia.
  • D. Agatu language
    The Agatu language is a Niger-Congo language spoken by the Agatu people of central Nigeria, belonging to the Idomoid branch.
  • E. Attié language
    The Attié language is a Niger-Congo language spoken primarily by the Attié people of southern Côte d'Ivoire.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.