Triple
T31380357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DARPA Urban Challenge |
E800435
|
entity |
| Predicate | winnerVehicle |
P176094
|
FINISHED |
| Object | Boss |
—
|
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: Boss | Statement: [DARPA Urban Challenge, winnerVehicle, Boss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerVehicle Context triple: [DARPA Urban Challenge, winnerVehicle, Boss]
-
A.
winningCar
chosen
Indicates that a particular car is the one that has achieved first place or victory in a race or competition.
-
B.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
-
C.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
D.
vehicleBase
Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
-
E.
starVehicleFor
Indicates that one entity serves as the primary or featured vehicle associated with another entity, such as a person, production, or event.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 29, 2026, 9:18 p.m.