Triple
T19241147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tembo |
E481133
|
entity |
| Predicate | neighboringGroups |
P5965
|
FINISHED |
| Object | Nande |
—
|
NE NERFINISHED |
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: Nande | Statement: [Tembo, neighboringGroups, Nande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nande Context triple: [Tembo, neighboringGroups, Nande]
-
A.
Nande
chosen
The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
-
B.
Nandinha
Nandinha is a diminutive, affectionate nickname commonly used in Portuguese for someone named Fernanda.
-
C.
Nane
Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
-
D.
Nandy
Nandy is a Tanzanian singer and songwriter known for her Bongo Flava hits and collaborations with prominent East African artists.
-
E.
Nessa
Nessa is a small locality situated within the Leipzig metropolitan region in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf14564819085009adf822804ab |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:26 p.m.