Triple
T16933274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Leeds |
E410764
|
entity |
| Predicate | electrifiedAlongMostOfRoute |
P124800
|
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: [London–Leeds, electrifiedAlongMostOfRoute, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electrifiedAlongMostOfRoute Context triple: [London–Leeds, electrifiedAlongMostOfRoute, true]
-
A.
railElectrificationIncludes
Indicates that a rail electrification system or project encompasses, covers, or incorporates a specified segment, component, or area of railway infrastructure.
-
B.
numberOfElectrifiedLines
Indicates the quantity of railway or transit lines within a system or network that are equipped with electrical power infrastructure for operation.
-
C.
electrificationTerminusOf
Indicates that a location or point serves as the end of an electrified section of a route, line, or network.
-
D.
isElectrifiedSectionOf
Indicates that one section or segment is a part of a larger entity and has been equipped with electrical power or electrification.
-
E.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
- F. None of above. chosen
Provenance (4 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2714b08190a2524d5d9578cc87 |
completed | April 18, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32d7aae948190bc238d765795688c |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:30 a.m.