Triple

T10060208
Position Surface form Disambiguated ID Type / Status
Subject Tubu E208968 entity
Predicate alternateName P39 FINISHED
Object Toubou E230353 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: Toubou | Statement: [Tubu, alternateName, Toubou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toubou
Context triple: [Tubu, alternateName, Toubou]
  • A. Toubou
    Toubou are a traditionally nomadic Saharan ethnic group primarily inhabiting northern Chad, southern Libya, and surrounding regions.
  • B. Bakairi
    Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
  • C. Shenwa Berber
    Shenwa Berber is a Northern Berber language variety spoken by the Chenoua people in northern Algeria, known for its distinct phonology and vocabulary within the Zenati subgroup.
  • D. Toubou people chosen
    The Toubou people are a traditionally nomadic ethnic group of herders and traders native to the central Sahara, primarily in Chad, Niger, and Libya.
  • E. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfd0d23081909510785ef8a186a3 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a6779348190ab8db058fb6e5ce1 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:57 p.m.