Triple
T31255342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oimachi Line |
E796946
|
entity |
| Predicate | urbanRailway |
P174098
|
FINISHED |
| Object | Tokyo metropolitan area |
—
|
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: Tokyo metropolitan area | Statement: [Oimachi Line, urbanRailway, Tokyo metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanRailway Context triple: [Oimachi Line, urbanRailway, Tokyo metropolitan area]
-
A.
urbanRailHubFor
Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
-
B.
urbanRailCategory
Indicates the classification of an urban rail system according to its type or category (e.g., metro, tram, light rail).
-
C.
cityRailNetwork
Indicates that there exists a rail-based public transportation system operating within and serving the specified city.
-
D.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
E.
lightRailNetwork
Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: April 29, 2026, 9:12 p.m.