Triple
T11137534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homa Bay District |
E263452
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Oyugis |
E347786
|
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: Oyugis | Statement: [Homa Bay District, containsSettlement, Oyugis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oyugis Context triple: [Homa Bay District, containsSettlement, Oyugis]
-
A.
Oyugis
chosen
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
B.
Ogimachi
Ogimachi is a historic Japanese mountain village in the Shirakawa-go region, renowned for its traditional gassho-zukuri farmhouses and UNESCO World Heritage status.
-
C.
Yokote
Yokote is a city in Akita Prefecture, Japan, known for its heavy snowfall and the annual Yokote Kamakura Snow Festival featuring traditional igloo-like snow huts.
-
D.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
-
E.
Yagiyama
Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd646ee860819083277b15aaf510fd |
completed | May 8, 2026, 4:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.