Triple
T4907314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 18E |
E109942
|
entity |
| Predicate | vehiclePowerSource |
P8164
|
FINISHED |
| Object | electricity |
—
|
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: electricity | Statement: [Route 18E, vehiclePowerSource, electricity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehiclePowerSource Context triple: [Route 18E, vehiclePowerSource, electricity]
-
A.
vehiclePower
Indicates the amount or type of power a vehicle can produce or is rated to deliver.
-
B.
hasPowerSource
chosen
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
C.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
-
D.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
E.
enginePower
Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e7452d481909078a0027e2a4566 |
completed | March 20, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.