Triple
T13973150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MK |
E336114
|
entity |
| Predicate | hasPostcodeDistrict |
P961
|
FINISHED |
| Object |
MK3
MK3 is a postcode district in the Milton Keynes area of Buckinghamshire, England.
|
E1071945
|
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: [MK, hasPostcodeDistrict, MK3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MK3 Context triple: [MK, hasPostcodeDistrict, MK3]
-
A.
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.
-
B.
Mk4
The Mk4 is the fourth generation of the Volkswagen Golf, known for its improved build quality, refined design, and widespread popularity in global compact car markets.
-
C.
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.
-
D.
Mk8
Mk8 is the eighth-generation Volkswagen Golf, a compact hatchback known for its updated technology, efficiency, and refined driving dynamics.
-
E.
MK 2
MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
- 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: [MK, hasPostcodeDistrict, MK3]
Generated description
MK3 is a postcode district in the Milton Keynes area of Buckinghamshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MK3 Target entity description: MK3 is a postcode district in the Milton Keynes area of Buckinghamshire, England.
-
A.
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.
-
B.
Mk4
The Mk4 is the fourth generation of the Volkswagen Golf, known for its improved build quality, refined design, and widespread popularity in global compact car markets.
-
C.
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.
-
D.
Mk8
Mk8 is the eighth-generation Volkswagen Golf, a compact hatchback known for its updated technology, efficiency, and refined driving dynamics.
-
E.
MK 2
MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8fd6d48190a157eae8df3a2f3a |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5918348819084fa4235eec6eee0 |
completed | May 6, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6b5e4f4819088e8a0629e17e4cc |
completed | May 6, 2026, 8:38 p.m. |
Created at: April 9, 2026, 10:18 p.m.