Triple
T22563265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilula people |
E557871
|
entity |
| Predicate | hasEthnonym |
P1435
|
FINISHED |
| Object | Chilula |
—
|
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: Chilula | Statement: [Chilula people, hasEthnonym, Chilula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chilula Context triple: [Chilula people, hasEthnonym, Chilula]
-
A.
Chilula
chosen
Chilula is an extinct Athabaskan language once spoken by an Indigenous people of northwestern California along the lower Redwood Creek area.
-
B.
Chingola
Chingola is a mining town in Zambia’s Copperbelt Province, known for its large copper mines and role in the country’s mining industry.
-
C.
Chindau
Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
-
D.
Chipinga
Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
-
E.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa7a828819096804ac928e2aaf9 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.