Triple
T37864709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 嵯峨野線 |
E944438
|
entity |
| Predicate | 電化区間 |
P73384
|
FINISHED |
| Object | 京都駅–園部駅間 |
—
|
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: 京都駅–園部駅間 | Statement: [嵯峨野線, 電化区間, 京都駅–園部駅間]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 電化区間 Context triple: [嵯峨野線, 電化区間, 京都駅–園部駅間]
-
A.
isElectrifiedSectionOf
chosen
Indicates that one section or segment is a part of a larger entity and has been equipped with electrical power or electrification.
-
B.
railElectrificationIncludes
Indicates that a rail electrification system or project encompasses, covers, or incorporates a specified segment, component, or area of railway infrastructure.
-
C.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
D.
electrificationTerminusOf
Indicates that a location or point serves as the end of an electrified section of a route, line, or network.
-
E.
electrifiedAlongMostOfRoute
Indicates that the route is equipped with electric power infrastructure along the majority of its length, but not necessarily its entirety.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.