Triple
T521576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro-North Railroad Hudson Line |
E10827
|
entity |
| Predicate | electrificationType |
P5320
|
FINISHED |
| Object | third rail electrification (southern portion) |
—
|
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: third rail electrification (southern portion) | Statement: [Metro-North Railroad Hudson Line, electrificationType, third rail electrification (southern portion)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electrificationType Context triple: [Metro-North Railroad Hudson Line, electrificationType, third rail electrification (southern portion)]
-
A.
electrificationSystem
chosen
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
B.
electrification
Indicates the process or state of providing electrical power or converting something to operate using electricity.
-
C.
electrificationUsedBetween
Indicates that an electrification system or method is applied or present along the segment or connection between two entities.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.