Triple

T15892669
Position Surface form Disambiguated ID Type / Status
Subject Lunda people E385366 entity
Predicate ethnonym P4709 FINISHED
Object Lunda E336257 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: Lunda | Statement: [Lunda people, ethnonym, Lunda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunda
Context triple: [Lunda people, ethnonym, Lunda]
  • A. Lunda chosen
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • B. Mumbwa
    Mumbwa is a town in central Zambia known as an agricultural and mining hub west of the capital, Lusaka.
  • C. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • D. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • E. Luba
    Luba is a monumental wooden sculpture by artist Ursula von Rydingsvard, exemplifying her signature hand-carved, architectonic style.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563727cc819086b5c18b655dd7f6 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0497cb481908e8ea4ebb9c4039d completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.