Triple
T21519946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 都筑郡 |
E530945
|
entity |
| Predicate | 関連都市 |
P24465
|
FINISHED |
| Object | 川崎市 |
—
|
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: 川崎市 | Statement: [都筑郡, 関連都市, 川崎市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 川崎市 Context triple: [都筑郡, 関連都市, 川崎市]
-
A.
Kawasaki City
chosen
Kawasaki City is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along Tokyo Bay.
-
B.
Osaki City
Osaki City is a regional city in northeastern Japan known for its agricultural production, hot springs, and historical sites.
-
C.
Kōtō City
Kōtō City is a special ward in eastern Tokyo known for its waterfront areas, modern residential and commercial districts, and cultural sites such as museums and event venues.
-
D.
Miyazaki City
Miyazaki City is a coastal city in southeastern Kyushu, Japan, known for its mild climate, beaches, and role as an administrative and cultural center of the region.
-
E.
Kitakyushu
Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
- 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, 6:26 p.m.