Triple

T10637612
Position Surface form Disambiguated ID Type / Status
Subject Atoni Meto E250633 entity
Predicate speaks P741 FINISHED
Object Dawan language E231083 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: Dawan language | Statement: [Atoni Meto, speaks, Dawan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawan language
Context triple: [Atoni Meto, speaks, Dawan language]
  • A. Dawan language chosen
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • B. Dawro language
    The Dawro language is an Omotic language of southwestern Ethiopia spoken by the Dawro people and closely related to Wolaytta.
  • C. Dawera-Daweloor language
    The Dawera-Daweloor language is an Austronesian language spoken on the Dawera and Daweloor islands in the Maluku province of Indonesia.
  • D. Konda-Dora language
    Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
  • E. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfae51148190840a4e52b29ad06e completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bc57a8081908abd73f4273d0666 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:04 p.m.