Triple
T12738839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havana urban bus network |
E304435
|
entity |
| Predicate | typicalVehicleFuel |
P22119
|
FINISHED |
| Object | diesel |
—
|
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: diesel | Statement: [Havana urban bus network, typicalVehicleFuel, diesel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVehicleFuel Context triple: [Havana urban bus network, typicalVehicleFuel, diesel]
-
A.
typicalFuel
chosen
Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
-
B.
fuelRole
Indicates that one entity serves as the fuel or energy source used or consumed by another entity in a process or operation.
-
C.
fuelConsumption
Indicates the amount of fuel used by an entity (such as a vehicle or device) over a specified distance, time, or operation.
-
D.
fuelEfficiency
Indicates how effectively an entity uses fuel to perform a given amount of work or travel a certain distance.
-
E.
laterFuelType
Indicates that one fuel type is used or adopted after another fuel type in time.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:26 p.m.