Triple
T10634183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omiya |
E250535
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Ōmiya Station |
E141363
|
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: Ōmiya Station | Statement: [Omiya, hasRailwayStation, Ōmiya Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōmiya Station Context triple: [Omiya, hasRailwayStation, Ōmiya Station]
-
A.
Omiya Station
chosen
Omiya Station is a major railway hub in Saitama, Japan, serving numerous JR East lines and Shinkansen routes and functioning as a key gateway between Tokyo and northern Japan.
-
B.
Marutamachi Station
Marutamachi Station is an underground metro station on the Kyoto Municipal Subway network serving central Kyoto, Japan.
-
C.
Nippombashi Station
Nippombashi Station is a major subway and railway hub in Osaka, Japan, serving the bustling Nipponbashi Den Den Town electronics and otaku shopping district.
-
D.
Hamamatsuchō Station
Hamamatsuchō Station is a major railway hub in Tokyo’s Minato ward that provides convenient access to central Tokyo, Haneda Airport, and the surrounding bayfront area.
-
E.
Oimachi Station
Oimachi Station is a major railway hub in Tokyo’s Shinagawa ward, serving multiple train and subway lines and connecting local neighborhoods with central and suburban areas of the city.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfab47bc819086684edc1b6dce74 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2796cc81908b6d4cf71f39e88a |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 8, 2026, 9:03 p.m.