Triple
T1008851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Far Rockaway Branch |
E21773
|
entity |
| Predicate | electrificationMethod |
P5320
|
FINISHED |
| Object | third rail |
—
|
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 | Statement: [Far Rockaway Branch, electrificationMethod, third rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electrificationMethod Context triple: [Far Rockaway Branch, electrificationMethod, third rail]
-
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.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
-
E.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.