Triple
T27868606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill Valley Train Station |
E704428
|
entity |
| Predicate | usedByVehicle |
P173214
|
FINISHED |
| Object | DeLorean time machine |
—
|
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: DeLorean time machine | Statement: [Hill Valley Train Station, usedByVehicle, DeLorean time machine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByVehicle Context triple: [Hill Valley Train Station, usedByVehicle, DeLorean time machine]
-
A.
usedAsVehicleFor
Indicates that one entity functions as a means of transportation or conveyance for another entity.
-
B.
usedInCar
Indicates that something is utilized as a component, feature, or element within a car.
-
C.
hasVehicularUse
Indicates that something is used for, intended for, or associated with operation by vehicles or vehicular traffic.
-
D.
usedByVehicleType
chosen
Indicates that something (such as a resource, component, or facility) is utilized or operated by a specific type or category of vehicle.
-
E.
usesVehicleVariant
Indicates that one entity performs an action or function by employing a specific variant or version of a vehicle.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 6:22 p.m.