Triple

T20072103
Position Surface form Disambiguated ID Type / Status
Subject Tanganyika Province E499762 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Tabwa people
The Tabwa people are a Bantu ethnic group of Central Africa, primarily inhabiting areas around Lake Tanganyika in present-day Democratic Republic of the Congo, Zambia, and Tanzania, known for their rich oral traditions and distinctive artistic and ritual practices.
E1842004 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: Tabwa people | Statement: [Tanganyika Province, hasEthnicGroup, Tabwa people]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tabwa people
Triple: [Tanganyika Province, hasEthnicGroup, Tabwa people]
Generated description
The Tabwa people are a Bantu ethnic group of Central Africa, primarily inhabiting areas around Lake Tanganyika in present-day Democratic Republic of the Congo, Zambia, and Tanzania, known for their rich oral traditions and distinctive artistic and ritual practices.

Provenance (5 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec0f80a88190aa6f4c69962d7359 completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f092aabc81908676a4d355891072 completed June 7, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_6a24f55704a081908533c0e5d81b1bb2 completed June 7, 2026, 4:36 a.m.
Created at: April 11, 2026, 3:40 p.m.