Triple
T5553228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 湘南新宿ライン |
E145575
|
entity |
| Predicate | 電化方式 |
P5320
|
FINISHED |
| Object | 直流1500V架空電車線方式 |
—
|
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: 直流1500V架空電車線方式 | Statement: [湘南新宿ライン, 電化方式, 直流1500V架空電車線方式]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 電化方式 Context triple: [湘南新宿ライン, 電化方式, 直流1500V架空電車線方式]
-
A.
electrificationUsedFor
Indicates that electrification is employed as a means or method to achieve, enable, or support a particular function, process, or purpose.
-
B.
electrificationSystem
chosen
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
C.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
D.
electricalPower
Indicates that one entity supplies, carries, or is associated with electrical power to or for another entity.
-
E.
electrification
Indicates the process or state of providing electrical power or converting something to operate using electricity.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ff9c9c48190b5e587d58c6515d8 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.