Triple
T291359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Group |
E6000
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Cariad
Cariad is a Volkswagen Group software subsidiary focused on developing automotive software, digital platforms, and advanced driver-assistance technologies for the company’s vehicle brands.
|
E38696
|
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: Cariad | Statement: [Volkswagen Group, owns, Cariad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cariad Context triple: [Volkswagen Group, owns, Cariad]
-
A.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
B.
Haggith
Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
-
C.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
-
D.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
E.
Lydia
Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
- 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: Cariad Triple: [Volkswagen Group, owns, Cariad]
Generated description
Cariad is a Volkswagen Group software subsidiary focused on developing automotive software, digital platforms, and advanced driver-assistance technologies for the company’s vehicle brands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cariad Target entity description: Cariad is a Volkswagen Group software subsidiary focused on developing automotive software, digital platforms, and advanced driver-assistance technologies for the company’s vehicle brands.
-
A.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
B.
Haggith
Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
-
C.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
-
D.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
E.
Lydia
Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e975d2c0819082bbf6a0f3d928af |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ab9e277c81909b75bbeaa6c818a2 |
completed | March 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69a3ac2debc88190b589d24b7614af41 |
completed | March 1, 2026, 3:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ac7df11c8190a6a65d3a1be62f25 |
completed | March 1, 2026, 3:03 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.