Triple
T2731314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobalaba |
E60318
|
entity |
| Predicate | hasElectrificationSystem |
P5320
|
FINISHED |
| Object | 750 V DC third rail (Line 1) |
—
|
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: 750 V DC third rail (Line 1) | Statement: [Tobalaba, hasElectrificationSystem, 750 V DC third rail (Line 1)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectrificationSystem Context triple: [Tobalaba, hasElectrificationSystem, 750 V DC third rail (Line 1)]
-
A.
electrificationSystem
chosen
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
B.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
C.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
D.
electricMotorType
Indicates the specific kind or category of electric motor associated with an 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.