Triple
T13625102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Innovation |
E325557
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Uber Freight |
E4943
|
NE 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: Uber Freight | Statement: [Aurora Innovation, partner, Uber Freight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uber Freight Context triple: [Aurora Innovation, partner, Uber Freight]
-
A.
GrabExpress
GrabExpress is Grab’s on-demand parcel and document delivery service operating across various Southeast Asian cities.
-
B.
Trucking Unlimited
Trucking Unlimited was a trucking industry organization involved in a notable U.S. Supreme Court antitrust case concerning the use of governmental and judicial processes to restrict competitors.
-
C.
Uber
chosen
Uber is a global ride-hailing and technology company that connects passengers with drivers through a mobile app and has expanded into food delivery and freight services.
-
D.
Shipt
Shipt is a same-day delivery and personal shopping service that partners with retailers to deliver groceries and household essentials to customers.
-
E.
Swift Transportation
Swift Transportation is one of the largest truckload motor carriers in the United States, providing nationwide freight transportation and logistics services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9c72c88190be3d7a3f2e96afbc |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa4c5fc8190bd791f181fce2aa1 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.