Triple
T15786186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Kenya |
E382744
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Wajir |
E838533
|
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: Wajir | Statement: [Northern Kenya, hasMajorTown, Wajir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wajir Context triple: [Northern Kenya, hasMajorTown, Wajir]
-
A.
Wajir
chosen
Wajir is a major town in northeastern Kenya that serves as an important commercial and administrative center in a predominantly arid, pastoralist region.
-
B.
Wazaramo
Wazaramo are a Bantu-speaking ethnic group native to the coastal and near-coastal regions around Dar es Salaam in eastern Tanzania.
-
C.
Ojowo
Ojowo is a town within the Ijebu North area of Ogun State in southwestern Nigeria.
-
D.
Waza
Waza is a traditional Kashmiri master chef renowned for preparing the elaborate multi-course feast known as Wazwan.
-
E.
Kajiado
Kajiado is a town in southern Kenya that serves as an administrative and commercial center for the surrounding Maasai-inhabited region.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0540380448190a025338f0e62e6d1 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9987140c8190a50da103905a7930 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.