Triple
T11309601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 寝屋川市 |
E267802
|
entity |
| Predicate | 主要鉄道路線 |
P848
|
FINISHED |
| Object | 京阪本線 |
—
|
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: 京阪本線 | Statement: [寝屋川市, 主要鉄道路線, 京阪本線]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要鉄道路線 Context triple: [寝屋川市, 主要鉄道路線, 京阪本線]
-
A.
railwayLine
chosen
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
B.
usesRailInfrastructureOf
Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
-
C.
isBusiestPassengerRailLineIn
Indicates that a passenger rail line is the one with the highest level of use or traffic within a specified geographic area or system.
-
D.
hasRailRoute
Indicates that there exists a rail-based transportation route or connection between the related entities.
-
E.
railwayLineRole
Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
- 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.