Triple
T21495868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatano |
E530350
|
entity |
| Predicate | mergerResult |
P15102
|
FINISHED |
| Object | city of Sado |
—
|
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: city of Sado | Statement: [Hatano, mergerResult, city of Sado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Sado Context triple: [Hatano, mergerResult, city of Sado]
-
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.
City of Naha
The City of Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a historic Ryukyuan cultural center and major regional port.
-
C.
Sanjo
Sanjo was a Japanese noblewoman best known as the principal wife of the Sengoku-period warlord Takeda Shingen.
-
D.
Sanjo
Sanjo is a city in central Niigata Prefecture, Japan, known for its metalworking and cutlery industries.
-
E.
Oga City
Oga City is a coastal municipality in Akita Prefecture, Japan, known for its rugged Oga Peninsula landscapes and the traditional Namahage folklore.
- 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.