Triple
T22758518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 250 |
E562916
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Akō, Hyōgo |
—
|
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: Akō, Hyōgo | Statement: [National Route 250, passesThrough, Akō, Hyōgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akō, Hyōgo Context triple: [National Route 250, passesThrough, Akō, Hyōgo]
-
A.
Ako, Hyōgo Prefecture
chosen
Ako, Hyōgo Prefecture is a coastal city in western Japan known for its historic salt production, Ako Castle, and association with the legend of the Forty-seven Ronin.
-
B.
Kami, Hyōgo
Kami, Hyōgo is a coastal town in northern Hyōgo Prefecture, Japan, known for its scenic Sea of Japan shoreline and hot spring resorts.
-
C.
Sakai, Osaka
Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
-
D.
Habikino, Osaka
Habikino is a city in Osaka Prefecture, Japan, historically notable for its large kofun burial mounds and ancient imperial tombs.
-
E.
Amagasaki
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7a8ca481909953dcd6fbcc5fcf |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.