Triple
T15215489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Osaka Prefecture |
E363626
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Osakasayama |
—
|
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: Osakasayama | Statement: [Southern Osaka Prefecture, hasMajorCity, Osakasayama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osakasayama Context triple: [Southern Osaka Prefecture, hasMajorCity, Osakasayama]
-
A.
Osakasayama
chosen
Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
-
B.
Ogimachi
Ogimachi is a historic Japanese mountain village in the Shirakawa-go region, renowned for its traditional gassho-zukuri farmhouses and UNESCO World Heritage status.
-
C.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
D.
Minamiashigara
Minamiashigara is a city in Kanagawa Prefecture, Japan, known for its natural hot springs, mountainous scenery, and proximity to the Hakone area.
-
E.
Aobayama
Aobayama is a hilly, forested area in Sendai known for housing parts of Tohoku University and offering scenic views over the city.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 3:11 a.m.