Triple
T19147170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oga Peninsula |
E468709
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Oga |
—
|
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: Oga | Statement: [Oga Peninsula, hasCity, Oga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oga Context triple: [Oga Peninsula, hasCity, Oga]
-
A.
Oga
chosen
Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
-
B.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
C.
Oghi
Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
-
D.
Oku
Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
-
E.
Ogassa
Ogassa is a small mountain municipality in the Ripollès comarca of Catalonia, Spain, known for its mining history and Pyrenean landscapes.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97a79a48190b243553023bf9081 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.