Triple
T1730484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Golf |
E37797
|
entity |
| Predicate | generation |
P4860
|
FINISHED |
| Object |
Mk3
The Mk3 is the third generation of the Volkswagen Golf compact car, produced in the early to mid-1990s and known for its improved safety and refinement over its predecessors.
|
E196483
|
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: Mk3 | Statement: [Volkswagen Golf, generation, Mk3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mk3 Context triple: [Volkswagen Golf, generation, Mk3]
-
A.
Mk2
The Mk2 is the second generation of the Volkswagen Golf, a popular compact car produced in the 1980s and early 1990s known for its improved refinement, safety, and performance over its predecessor.
-
B.
Mark-3
Mark-3 is the third-generation Jaeger class to which the iconic mech Gipsy Danger belongs in the Pacific Rim universe.
-
C.
Mk8
Mk8 is the eighth-generation Volkswagen Golf, a compact hatchback known for its updated technology, efficiency, and refined driving dynamics.
-
D.
MK 2
MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
-
E.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
- 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: Mk3 Triple: [Volkswagen Golf, generation, Mk3]
Generated description
The Mk3 is the third generation of the Volkswagen Golf compact car, produced in the early to mid-1990s and known for its improved safety and refinement over its predecessors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mk3 Target entity description: The Mk3 is the third generation of the Volkswagen Golf compact car, produced in the early to mid-1990s and known for its improved safety and refinement over its predecessors.
-
A.
Mk2
The Mk2 is the second generation of the Volkswagen Golf, a popular compact car produced in the 1980s and early 1990s known for its improved refinement, safety, and performance over its predecessor.
-
B.
Mark-3
Mark-3 is the third-generation Jaeger class to which the iconic mech Gipsy Danger belongs in the Pacific Rim universe.
-
C.
Mk8
Mk8 is the eighth-generation Volkswagen Golf, a compact hatchback known for its updated technology, efficiency, and refined driving dynamics.
-
D.
MK 2
MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
-
E.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa637f202c8190b46a31bef51465c8 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d76ea481908227f9cad3ff4523 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1e13d408190b393c00c331125a2 |
completed | March 8, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada292a34c8190a566c2909342ab27 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:30 p.m.