Triple
T20814598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR-P17 |
E512403
|
entity |
| Predicate | railwayLineAlternativeName |
P44063
|
FINISHED |
| Object | JR Yumesaki 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: JR Yumesaki Line | Statement: [JR-P17, railwayLineAlternativeName, JR Yumesaki Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayLineAlternativeName Context triple: [JR-P17, railwayLineAlternativeName, JR Yumesaki Line]
-
A.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
B.
formerRailwayLine
Indicates that a railway line previously existed in the past but is no longer in operation or has been decommissioned.
-
C.
railwayName
chosen
Indicates the name assigned to a specific railway or railway line in the relationship.
-
D.
railwayLineType
Indicates the specific kind or classification of a railway line associated with an entity (e.g., main line, branch line, high-speed line).
-
E.
railwayNickname
Indicates that a railway or rail line is known by a particular informal or colloquial nickname.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d4e43c8190aecce82a3f7e2de0 |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.