Triple
T37423117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roncesvalles streetcar routes |
E929914
|
entity |
| Predicate | useVehicleType |
P173214
|
FINISHED |
| Object | Flexity Outlook streetcar |
—
|
NE NERFINISHED |
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: Flexity Outlook streetcar | Statement: [Roncesvalles streetcar routes, useVehicleType, Flexity Outlook streetcar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useVehicleType Context triple: [Roncesvalles streetcar routes, useVehicleType, Flexity Outlook streetcar]
-
A.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
B.
usedByVehicleType
chosen
Indicates that something (such as a resource, component, or facility) is utilized or operated by a specific type or category of vehicle.
-
C.
controlCarType
Indicates a relationship where an entity has authority to operate, manage, or make decisions about a specific type or category of car.
-
D.
vehicleEligibility
Indicates whether a given vehicle satisfies the required conditions or criteria to be considered eligible for a specified purpose or program.
-
E.
vehicleFor
Indicates that one entity serves as the means of transportation or conveyance for 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_69f76ebf0f288190ba198a78341613b8 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.