Triple
T19241149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tembo |
E481133
|
entity |
| Predicate | neighboringGroups |
P5965
|
FINISHED |
| Object | Havu |
—
|
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: Havu | Statement: [Tembo, neighboringGroups, Havu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havu Context triple: [Tembo, neighboringGroups, Havu]
-
A.
Havu
chosen
Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
-
B.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
-
C.
Ekegusii
Ekegusii is a Bantu language spoken primarily by the Abagusii people of western Kenya.
-
D.
Lohsa
Lohsa is a municipality in eastern Saxony, Germany, known for its lakes and forests within the Lusatian region.
-
E.
Kunes
Kunes is a small village in northern Norway, located within Lebesby Municipality in Troms og Finnmark county.
- 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.