Triple
T12601464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waymo |
E300866
|
entity |
| Predicate | keyCompetitor |
P1375
|
FINISHED |
| Object |
Zoox
Zoox is an autonomous vehicle company focused on developing self-driving robotaxis and mobility services.
|
E991947
|
NE FINISHED |
How this triple was built (4 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: Zoox | Statement: [Waymo, keyCompetitor, Zoox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoox Context triple: [Waymo, keyCompetitor, Zoox]
-
A.
Waymo
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.
General Motors (via Cruise)
General Motors (via Cruise) is the U.S. automaker’s autonomous vehicle subsidiary focused on developing and deploying self-driving car technology.
-
C.
Uber Advanced Technologies Group
Uber Advanced Technologies Group was Uber’s self-driving car research and development division focused on autonomous vehicle technologies.
-
D.
Li Auto
Li Auto is a Chinese electric vehicle manufacturer known for its extended-range hybrid SUVs and focus on smart, family-oriented cars.
-
E.
Boston Dynamics
Boston Dynamics is an American engineering and robotics company renowned for creating advanced, highly mobile robots such as Atlas, Spot, and Handle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zoox Triple: [Waymo, keyCompetitor, Zoox]
Generated description
Zoox is an autonomous vehicle company focused on developing self-driving robotaxis and mobility services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zoox Target entity description: Zoox is an autonomous vehicle company focused on developing self-driving robotaxis and mobility services.
-
A.
Waymo
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.
General Motors (via Cruise)
General Motors (via Cruise) is the U.S. automaker’s autonomous vehicle subsidiary focused on developing and deploying self-driving car technology.
-
C.
Uber Advanced Technologies Group
Uber Advanced Technologies Group was Uber’s self-driving car research and development division focused on autonomous vehicle technologies.
-
D.
Li Auto
Li Auto is a Chinese electric vehicle manufacturer known for its extended-range hybrid SUVs and focus on smart, family-oriented cars.
-
E.
Boston Dynamics
Boston Dynamics is an American engineering and robotics company renowned for creating advanced, highly mobile robots such as Atlas, Spot, and Handle.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f65faf33e0819092df07a5fa98cb73 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66036f520819098af75cd5578d573 |
completed | May 2, 2026, 8:36 p.m. |
Created at: April 9, 2026, 5:09 p.m.