Triple

T1871173
Position Surface form Disambiguated ID Type / Status
Subject Toubou E39037 entity
Predicate ethnonym P4709 FINISHED
Object Teda–Daza E40959 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: Teda–Daza | Statement: [Toubou, ethnonym, Teda–Daza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teda–Daza
Context triple: [Toubou, ethnonym, Teda–Daza]
  • A. Daza chosen
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • B. Teda
    Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
  • C. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • D. Dawan
    Dawan are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional agrarian culture.
  • E. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0ba90e08190b990875d6e8e7e4a completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1dd2d748190976277ac25f938ee completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:34 p.m.