Triple
T6366916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovambo |
E143250
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Ngandjera |
E143250
|
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: Ngandjera | Statement: [Ovambo, hasDialect, Ngandjera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngandjera Context triple: [Ovambo, hasDialect, Ngandjera]
-
A.
Karibib
Karibib is a small mining and transport town in central Namibia known for its marble quarries and strategic location between Windhoek and the coastal city of Swakopmund.
-
B.
Ovambo
chosen
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
-
C.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
-
D.
Lusiana
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
-
E.
Gavinana
Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06811de2881909ead116117956981 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640b2915481909f3251f9c34e8db2 |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:32 p.m.