Triple
T27382927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adachi, Tokyo |
E691285
|
entity |
| Predicate | railwayHubAt |
P918
|
FINISHED |
| Object | Kitasenju Station |
—
|
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: Kitasenju Station | Statement: [Adachi, Tokyo, railwayHubAt, Kitasenju Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayHubAt Context triple: [Adachi, Tokyo, railwayHubAt, Kitasenju Station]
-
A.
hasRailwayStationOn
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
-
B.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
-
C.
transportationHubType
Indicates the specific kind of transportation hub an entity is (e.g., airport, train station, bus terminal).
-
D.
hasRailwayStation
chosen
Indicates that a place or location is served by, or contains, a railway station.
-
E.
hasRailwayStationRole
Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
- F. None of above.
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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 12:23 p.m.