Triple
T4047196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway du Mont-Blanc |
E84094
|
entity |
| Predicate | electrificationFrequency |
P15377
|
FINISHED |
| Object | 50 Hz |
—
|
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: 50 Hz | Statement: [Tramway du Mont-Blanc, electrificationFrequency, 50 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electrificationFrequency Context triple: [Tramway du Mont-Blanc, electrificationFrequency, 50 Hz]
-
A.
electrificationCoverage
Indicates the extent to which a given area, system, or population is supplied with access to electrical power.
-
B.
usesElectricFrequency
chosen
Indicates that one entity operates or functions by relying on a specified electric frequency provided by another entity or context.
-
C.
electrificationEnd
Indicates the point in time or event at which an electrification process or electrified state comes to an end.
-
D.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.