Triple
T3689027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harz Narrow Gauge Railways |
E78298
|
entity |
| Predicate | notElectrified |
P21804
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Harz Narrow Gauge Railways, notElectrified, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notElectrified Context triple: [Harz Narrow Gauge Railways, notElectrified, true]
-
A.
nonElectrifiedSection
chosen
Indicates that a segment of a transportation or track network lacks electrical infrastructure for powered operation.
-
B.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
C.
electrification
Indicates the process or state of providing electrical power or converting something to operate using electricity.
-
D.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
E.
electrificationEnd
Indicates the point in time or event at which an electrification process or electrified state comes to an end.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4cb47208190b1321af859d02c51 |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.