Triple

T14667137
Position Surface form Disambiguated ID Type / Status
Subject Central Province E344406 entity
Predicate languageUsed P238 FINISHED
Object Bemba E701844 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: Bemba | Statement: [Central Province, languageUsed, Bemba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bemba
Context triple: [Central Province, languageUsed, Bemba]
  • A. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • B. AbaBemba chosen
    AbaBemba are a major Bantu ethnic group primarily found in northern Zambia, known for their rich cultural traditions, centralized chieftaincy, and historical Bemba Kingdom.
  • C. Lubemba
    Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
  • D. Ngbandi
    Ngbandi is a Central African language spoken primarily in the Democratic Republic of the Congo and the Central African Republic, known for its role as a regional lingua franca and its inclusion in the Ubangian language family.
  • E. Bongo–Bagirmi
    Bongo–Bagirmi is a subgroup of Central Sudanic languages spoken primarily in parts of Central Africa, including Chad and neighboring regions.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde177ced48190a448cbee1f4c75bf completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.