Triple
T10255164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aomori Prefecture |
E240442
|
entity |
| Predicate | positionOnHonshu |
P93086
|
FINISHED |
| Object | northernmost prefecture on Honshu |
—
|
LITERAL 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: northernmost prefecture on Honshu | Statement: [Aomori Prefecture, positionOnHonshu, northernmost prefecture on Honshu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnHonshu Context triple: [Aomori Prefecture, positionOnHonshu, northernmost prefecture on Honshu]
-
A.
terminusOnHonshu
Indicates that the endpoint or terminus of something (such as a route, line, or connection) is located on the island of Honshu.
-
B.
isInCentralJapan
Indicates that something is located within the central region of Japan.
-
C.
locatedInPrefectureCapitalRegion
Indicates that the subject is geographically situated within the capital region of a given prefecture.
-
D.
locatedInRegionOfPrefecture
Indicates that one entity is geographically situated within a specific region that belongs to or is administered as part of a given prefecture.
-
E.
locatedInDirectionFromTokyo
Indicates that one place is situated in a specified compass direction relative to Tokyo.
- F. None of above. chosen
Provenance (4 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d2b4ae548190b4a4c671f86b82d1 |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:30 a.m.