Triple
T18068278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawasaki-ku |
E432349
|
entity |
| Predicate | hasShoppingComplex |
P16039
|
FINISHED |
| Object | Kawasaki Azalea |
—
|
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: Kawasaki Azalea | Statement: [Kawasaki-ku, hasShoppingComplex, Kawasaki Azalea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawasaki Azalea Context triple: [Kawasaki-ku, hasShoppingComplex, Kawasaki Azalea]
-
A.
Kawasaki Daishi
Kawasaki Daishi is a major Shingon Buddhist temple in Kawasaki, Japan, renowned as a popular site for New Year’s visits and prayers for protection from misfortune.
-
B.
Kawasaki More’s
chosen
Kawasaki More’s is a shopping complex located in Kawasaki-ku, Japan, offering a variety of retail stores, dining options, and services.
-
C.
Kawasaki Brave Thunders
Kawasaki Brave Thunders is a professional Japanese basketball team based in Kawasaki that competes in the B.League.
-
D.
Kawasaki Z series
The Kawasaki Z series is a line of high-performance naked and sport motorcycles known for their aggressive styling and powerful engines.
-
E.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.