Triple
T4591883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrik Dahlkamp |
E103509
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Stanford autonomous vehicle projects |
E3329
|
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: Stanford autonomous vehicle projects | Statement: [Hendrik Dahlkamp, notableWork, Stanford autonomous vehicle projects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanford autonomous vehicle projects Context triple: [Hendrik Dahlkamp, notableWork, Stanford autonomous vehicle projects]
-
A.
Google self-driving car project
The Google self-driving car project is an autonomous vehicle initiative by Google (later Waymo) that helped pioneer modern self-driving technology and testing on public roads.
-
B.
DARPA Grand Challenge
chosen
The DARPA Grand Challenge was a series of autonomous vehicle competitions in the 2000s that catalyzed major advances in self-driving car technology and robotics research.
-
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.
Stanford Artificial Intelligence Laboratory
The Stanford Artificial Intelligence Laboratory is a leading research center at Stanford University dedicated to advancing the theory and practice of artificial intelligence across robotics, machine learning, and related fields.
-
E.
Vision Zero San Francisco
Vision Zero San Francisco is the city’s comprehensive traffic safety initiative aimed at eliminating all traffic deaths and severe injuries through street design, policy changes, and public education.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592520ec8190b1bd4cb4d9b94c94 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0cdc7e8819088758c1d6d8e866d |
completed | March 21, 2026, 12:05 a.m. |
Created at: March 20, 2026, 1:11 p.m.