Triple
T33617939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biwako Line |
E861171
|
entity |
| Predicate | railwayCompanySector |
P68241
|
FINISHED |
| Object | JR West Kyoto Branch |
—
|
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 West Kyoto Branch | Statement: [Biwako Line, railwayCompanySector, JR West Kyoto Branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayCompanySector Context triple: [Biwako Line, railwayCompanySector, JR West Kyoto Branch]
-
A.
railwayNetworkSector
chosen
Indicates a relationship where something is classified as, or associated with, a specific sector or segment of a railway network.
-
B.
railwayCompany
Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
-
C.
railwaySectorOrigin
Indicates the place or source from which a railway sector, line, or system originates or begins.
-
D.
railwayCompanyType
Indicates the specific category or classification of a railway company in terms of its role, ownership, or operational type.
-
E.
railwayCompanyGroup
Indicates that one entity is a group or consortium that includes or controls the other entity as a railway company.
- 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_69f34980fabc81909819228729a9ca84 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:41 a.m.