Triple
T11309843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 樟葉駅 |
E267807
|
entity |
| Predicate | 接続交通機関 |
P3791
|
FINISHED |
| Object | 路線バス |
—
|
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: 路線バス | Statement: [樟葉駅, 接続交通機関, 路線バス]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 接続交通機関 Context triple: [樟葉駅, 接続交通機関, 路線バス]
-
A.
transportationJunctionFor
Indicates a location that serves as a connecting point where multiple transportation routes or modes meet, intersect, or transfer.
-
B.
hasPublicTransportConnection
chosen
Indicates that there is an available public transportation link or service connecting the related entities.
-
C.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
D.
transportConnectionTo
Indicates a relationship where one entity provides or participates in a means of transportation that connects or leads to another entity.
-
E.
transportDependency
Indicates that one entity’s ability to be transported or to function in transport depends on another entity or transport resource.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.