Triple
T12601433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waymo |
E300866
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Waymo Driver |
E300866
|
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: Waymo Driver | Statement: [Waymo, product, Waymo Driver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waymo Driver Context triple: [Waymo, product, Waymo Driver]
-
A.
Waymo
chosen
Waymo is an autonomous driving technology company, originally a Google self-driving car project, that develops and operates self-driving vehicles and robotaxi services.
-
B.
Apollo autonomous driving platform
Apollo autonomous driving platform is Baidu’s open, scalable software and hardware ecosystem for developing, testing, and deploying self-driving vehicle technologies.
-
C.
Autonoë
Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
-
D.
Uber Advanced Technologies Group
Uber Advanced Technologies Group was Uber’s self-driving car research and development division focused on autonomous vehicle technologies.
-
E.
General Motors Super Cruise
General Motors Super Cruise is an advanced hands-free driver assistance system that enables semi-autonomous driving on compatible highways using lidar-based mapping, driver monitoring, and adaptive cruise and lane-centering technologies.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec92c6c8190bd2d193e70940407 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:09 p.m.