Triple

T1709623
Position Surface form Disambiguated ID Type / Status
Subject Burundi E36947 entity
Predicate populationGroup P2750 FINISHED
Object Twa E136911 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: Twa | Statement: [Burundi, populationGroup, Twa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twa
Context triple: [Burundi, populationGroup, Twa]
  • A. Twa chosen
    The Twa are an indigenous pygmy people of Central Africa, traditionally forest-dwelling hunter-gatherers and one of the region’s oldest ethnic groups.
  • B. Tuka
    Tuka is a surname most notably associated with Vojtech Tuka, a Slovak politician and leading figure of the World War II-era Slovak State.
  • C. Tuka
    Tuka is the affectionate self-referential name used by the 17th-century Marathi saint-poet Tukaram in his devotional abhangas.
  • D. Tisiway
    Tisiway is an alternative name for the Siwi language spoken by the Siwi (Siwa Oasis) Berber community in Egypt.
  • E. Katwa
    Katwa is a health zone and town in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa631329088190a2ce8f755bd69fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8adb1b588190b93f9d28d27cab72 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.