Triple
T24876034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Ginza Line at Kanda Station |
E622570
|
entity |
| Predicate | railwayCompanyConnection |
P81222
|
FINISHED |
| Object | JR East |
—
|
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: JR East | Statement: [Tokyo Metro Ginza Line at Kanda Station, railwayCompanyConnection, JR East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayCompanyConnection Context triple: [Tokyo Metro Ginza Line at Kanda Station, railwayCompanyConnection, JR East]
-
A.
railwayCompanyNetwork
Indicates a relationship where a railway company operates, manages, or is responsible for a particular rail network or system.
-
B.
countryRailConnection
Indicates that there is a railway connection or service linking two countries.
-
C.
railwayCompanyOnRoute
chosen
Indicates that a particular railway company operates or provides service on a specified route.
-
D.
railwayCompany
Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
-
E.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:24 a.m.