Triple
T22207595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keikyū |
E548853
|
entity |
| Predicate | hasInteroperationWith |
P48644
|
FINISHED |
| Object | Toei Asakusa Line |
—
|
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: Toei Asakusa Line | Statement: [Keikyū, hasInteroperationWith, Toei Asakusa Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteroperationWith Context triple: [Keikyū, hasInteroperationWith, Toei Asakusa Line]
-
A.
interoperabilityWith
chosen
Indicates that one system, component, or standard can effectively exchange and use information or services with another.
-
B.
hasInterchangesWith
Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
-
C.
designedToInterfaceWith
Indicates that one entity has been intentionally created or configured to connect, interact, or work compatibly with another entity.
-
D.
implementedInCooperationWith
Indicates that an action, project, or initiative was carried out jointly or collaboratively together with another party.
-
E.
mayBeIntegratedWith
Indicates that one entity has the potential or capability to be combined or incorporated with another entity into a unified or interoperable whole.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2936a481909aa84c7983ed49ee |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.