Triple
T8929460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi Q5 |
E212614
|
entity |
| Predicate | firstGenerationCode |
P17321
|
FINISHED |
| Object |
Typ 8R
Typ 8R is Audi’s internal model designation for the first-generation Audi Q5 compact luxury crossover SUV.
|
E766175
|
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: Typ 8R | Statement: [Audi Q5, firstGenerationCode, Typ 8R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Typ 8R Context triple: [Audi Q5, firstGenerationCode, Typ 8R]
-
A.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
-
B.
TR-85
The TR-85 is a Romanian main battle tank developed during the Cold War as an improved, domestically produced evolution of the Soviet T-55 design.
-
C.
Typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
-
D.
S-Type
S-Type is a Scottish hip-hop and electronic music producer known for his work with the LuckyMe collective and his synth-driven, cinematic beat style.
-
E.
T-850
T-850 is a reprogrammed Terminator cyborg model portrayed by Arnold Schwarzenegger in "Terminator 3: Rise of the Machines," sent back in time to protect John Connor from more advanced machines.
- 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: Typ 8R Triple: [Audi Q5, firstGenerationCode, Typ 8R]
Generated description
Typ 8R is Audi’s internal model designation for the first-generation Audi Q5 compact luxury crossover SUV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Typ 8R Target entity description: Typ 8R is Audi’s internal model designation for the first-generation Audi Q5 compact luxury crossover SUV.
-
A.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
-
B.
TR-85
The TR-85 is a Romanian main battle tank developed during the Cold War as an improved, domestically produced evolution of the Soviet T-55 design.
-
C.
Typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
-
D.
S-Type
S-Type is a Scottish hip-hop and electronic music producer known for his work with the LuckyMe collective and his synth-driven, cinematic beat style.
-
E.
T-850
T-850 is a reprogrammed Terminator cyborg model portrayed by Arnold Schwarzenegger in "Terminator 3: Rise of the Machines," sent back in time to protect John Connor from more advanced machines.
- 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.