Triple
T4292082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R143 subway cars |
E99616
|
entity |
| Predicate | thirdRailVoltage |
P55252
|
FINISHED |
| Object | 600 V DC |
—
|
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: 600 V DC | Statement: [R143 subway cars, thirdRailVoltage, 600 V DC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdRailVoltage Context triple: [R143 subway cars, thirdRailVoltage, 600 V DC]
-
A.
thirdRailType
Indicates the specific design or configuration type of a third rail used in an electrified railway system.
-
B.
typicalVoltagePerCell
Indicates the standard or commonly expected voltage value associated with each individual cell in a multi-cell system or device.
-
C.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
D.
supportsMaximumVoltage
Indicates that an entity is capable of safely operating at or up to a specified maximum voltage level.
-
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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3508035a08190b752c8edce0aff86 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:08 p.m.