Triple
T21518969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogi |
E530921
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Sado (city) |
—
|
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: Sado (city) | Statement: [Ogi, isPartOf, Sado (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sado (city) Context triple: [Ogi, isPartOf, Sado (city)]
-
A.
Sado City
chosen
Sado City is a municipality on Sado Island in Niigata Prefecture, Japan, known for its historic gold mines, coastal scenery, and preserved traditional culture.
-
B.
Sado, Niigata
Sado, Niigata is a large island and former city in the Sea of Japan off Niigata Prefecture, known for its historic gold mines, rich cultural traditions, and scenic coastal landscapes.
-
C.
Saijo
Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
-
D.
Sagae City
Sagae City is a regional city in northern Japan known for its fruit production, particularly cherries, and its scenic rural landscapes.
-
E.
Sado, Niigata, Japan
Sado, Niigata, Japan is a large island in the Sea of Japan known for its historic gold mines, rich cultural traditions, and scenic coastal 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884af0f08190bc1f3d70e57a325d |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:25 p.m.