Triple
T9919708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shizuoka |
E185961
|
entity |
| Predicate | hasWard |
P14475
|
FINISHED |
| Object | Shimizu-ku |
E731043
|
NE FINISHED |
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: Shimizu-ku | Statement: [Shizuoka, hasWard, Shimizu-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shimizu-ku Context triple: [Shizuoka, hasWard, Shimizu-ku]
-
A.
Shimizu Ward
chosen
Shimizu Ward is a coastal administrative district of Shizuoka City in Japan, known for its port, scenic views of Mount Fuji, and historic role in maritime trade.
-
B.
Wakamatsu-ku
Wakamatsu-ku is one of the seven wards of Kitakyushu in Fukuoka Prefecture, Japan, known for its coastal location and industrial heritage.
-
C.
Sumiyoshi-ku
Sumiyoshi-ku is one of the 24 wards of Osaka, Japan, known as a primarily residential area with a mix of traditional neighborhoods and urban amenities.
-
D.
Shiroishi-ku
Shiroishi-ku is one of the administrative wards of the city of Sapporo in Hokkaido, Japan.
-
E.
Takatsu-ku
Takatsu-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5699bc48190961e036d1131fef0 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e877c6188190817fb30f2c9a07bf |
completed | April 20, 2026, 8:48 a.m. |
Created at: March 30, 2026, 8:42 p.m.