Triple
T13625200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uber Advanced Technologies Group |
E325559
|
entity |
| Predicate | acquiredCompanyFocus |
P111353
|
FINISHED |
| Object | self-driving trucks |
—
|
LITERAL 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: self-driving trucks | Statement: [Uber Advanced Technologies Group, acquiredCompanyFocus, self-driving trucks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredCompanyFocus Context triple: [Uber Advanced Technologies Group, acquiredCompanyFocus, self-driving trucks]
-
A.
acquiredCompany
Indicates that one entity has purchased and taken ownership or control of another company.
-
B.
underlyingCompanyBusinessFocus
Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
-
C.
previousCompanyFocus
Indicates that a company previously concentrated its business activities or strategic efforts on a particular industry, market, or area of specialization.
-
D.
acquiredCompanyType
Indicates the classification or category of the company that was acquired in an acquisition relationship.
-
E.
organizationFocus
Indicates the primary area of activity, mission, or specialization that an organization is oriented toward or concentrated on.
- F. None of above. chosen
Provenance (4 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_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:50 p.m.