Triple
T7773708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoto |
E179135
|
entity |
| Predicate | transportAccessVia |
P37664
|
FINISHED |
| Object | Shinsen 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: Shinsen Station | Statement: [Shoto, transportAccessVia, Shinsen Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportAccessVia Context triple: [Shoto, transportAccessVia, Shinsen Station]
-
A.
transportModeAccess
Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
-
B.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
C.
transportConnectionTo
chosen
Indicates a relationship where one entity provides or participates in a means of transportation that connects or leads to another entity.
-
D.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
E.
transportHubType
Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70461b3e48190bf1e4d4f9e6bb08e |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:11 p.m.