Triple
T8929431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi A8 |
E212613
|
entity |
| Predicate | generation |
P4860
|
FINISHED |
| Object |
D5
D5 is the fourth-generation Audi A8 luxury sedan platform, introduced with updated design, advanced technology, and improved performance over its predecessors.
|
E766174
|
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: D5 | Statement: [Audi A8, generation, D5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D5 Context triple: [Audi A8, generation, D5]
-
A.
D5
D5 is a commuter rail line within the Moscow Central Diameters network that serves as one of the key cross-city routes in the Moscow metropolitan area.
-
B.
D4
D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
-
C.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
-
D.
The D
"The D" is a popular nickname for Detroit, a major U.S. city known for its automotive industry, musical heritage, and role in American industrial history.
-
E.
D2
D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
- 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: D5 Triple: [Audi A8, generation, D5]
Generated description
D5 is the fourth-generation Audi A8 luxury sedan platform, introduced with updated design, advanced technology, and improved performance over its predecessors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D5 Target entity description: D5 is the fourth-generation Audi A8 luxury sedan platform, introduced with updated design, advanced technology, and improved performance over its predecessors.
-
A.
D5
D5 is a commuter rail line within the Moscow Central Diameters network that serves as one of the key cross-city routes in the Moscow metropolitan area.
-
B.
D4
D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
-
C.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
-
D.
The D
"The D" is a popular nickname for Detroit, a major U.S. city known for its automotive industry, musical heritage, and role in American industrial history.
-
E.
D2
D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc667470308190a75ba63de803e3a2 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba5e887c8190851f2fb533653c6e |
completed | April 3, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_69cfbab0b0048190a0ad002787dddffa |
completed | April 3, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb4f1f6881908ec9e419d175d044 |
completed | April 3, 2026, 1:06 p.m. |
Created at: March 30, 2026, 6:57 p.m.