Triple
T10924474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendu Bay |
E258029
|
entity |
| Predicate | regionCapitalNearby |
P41518
|
FINISHED |
| Object | Homa Bay town |
E263452
|
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: Homa Bay town | Statement: [Kendu Bay, regionCapitalNearby, Homa Bay town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homa Bay town Context triple: [Kendu Bay, regionCapitalNearby, Homa Bay town]
-
A.
Homa Bay District
chosen
Homa Bay District was a former administrative district in western Kenya located along the shores of Lake Victoria in Nyanza Province.
-
B.
Kadoma
Kadoma is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
-
C.
Kadoma
Kadoma is a city in central Zimbabwe known for its gold mining and agricultural activities.
-
D.
Omuta
Omuta is an industrial city in southern Fukuoka Prefecture, Japan, historically known for its coal mining and chemical industries.
-
E.
Kamukunji
Kamukunji is a densely populated, historically significant urban constituency and neighborhood in Nairobi known for its vibrant markets and political activism.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708f7ab48190b60a4bb8fdb17c8e |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e34455ea4c8190b6f2433f3f745b76 |
completed | April 18, 2026, 8:44 a.m. |
Created at: April 8, 2026, 9:22 p.m.