Triple
T20131493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Tanzania |
E490904
|
entity |
| Predicate | hasIndigenousPeople |
P194
|
FINISHED |
| Object | Chagga |
—
|
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: Chagga | Statement: [Northern Tanzania, hasIndigenousPeople, Chagga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chagga Context triple: [Northern Tanzania, hasIndigenousPeople, Chagga]
-
A.
Chagga
chosen
Chagga is a Bantu language spoken primarily by the Chagga people on the slopes of Mount Kilimanjaro in northern Tanzania.
-
B.
Murang’a
Murang’a is a town in central Kenya that serves as an important commercial and cultural hub in a region historically associated with the Kikuyu community.
-
C.
Mhangura
Mhangura is a small mining town in northern Zimbabwe known historically for its copper production.
-
D.
Chang'ombe
Chang'ombe is a neighborhood in Dar es Salaam, Tanzania, known for its residential areas and educational institutions, including the University of Dar es Salaam’s constituent colleges.
-
E.
Wazaramo
Wazaramo are a Bantu-speaking ethnic group native to the coastal and near-coastal regions around Dar es Salaam in eastern Tanzania.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66762f0448190b7dbbc665e179ffc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.