Triple
T21495817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryōtsu area |
E530348
|
entity |
| Predicate | mergedInto |
P77
|
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: [Ryōtsu area, mergedInto, Sado City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sado City Context triple: [Ryōtsu area, mergedInto, 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.
Susaki City
Susaki City is a coastal municipality in southwestern Japan known for its fishing industry, scenic Pacific shoreline, and location within Kōchi Prefecture on Shikoku Island.
-
C.
Shiki City
Shiki City is a suburban municipality in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
-
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.
Sukumo City
Sukumo City is a coastal municipality located at the southwestern tip of Japan’s Shikoku Island, known for its fishing industry and scenic bays within Kōchi Prefecture.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea582d9c8190b95ff6e1b8179b81 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:23 p.m.