Triple
T14680073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashiyodogawa-ku, Osaka |
E344753
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Suita 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: Suita City | Statement: [Higashiyodogawa-ku, Osaka, adjacentTo, Suita City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suita City Context triple: [Higashiyodogawa-ku, Osaka, adjacentTo, Suita City]
-
A.
Suita City
chosen
Suita City is a municipality in Osaka Prefecture, Japan, known as a residential and commercial hub within the Osaka metropolitan area and home to attractions such as the Expo ’70 Commemorative Park.
-
B.
Osaki City
Osaki City is a regional city in northeastern Japan known for its agricultural production, hot springs, and historical sites.
-
C.
Settsu City
Settsu City is a suburban municipality in northern Osaka Prefecture, Japan, known for its residential neighborhoods and convenient access to central Osaka.
-
D.
Osaki New City
Osaki New City is a major business and commercial district in Tokyo known for its modern office complexes, high-rise buildings, and urban redevelopment projects.
-
E.
Bunkyō City
Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
Created at: April 10, 2026, 1:27 a.m.