Triple
T11123061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Europe |
E263064
|
entity |
| Predicate | hasDesignCenterIn |
P47071
|
FINISHED |
| Object |
Dunton
Dunton is a major automotive engineering and design center in the United Kingdom, best known as Ford of Europe’s primary research and development facility.
|
E906141
|
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: Dunton | Statement: [Ford Europe, hasDesignCenterIn, Dunton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunton Context triple: [Ford Europe, hasDesignCenterIn, Dunton]
-
A.
Dunsdale
Dunsdale is a small village located within the borough of Redcar and Cleveland in North Yorkshire, England.
-
B.
Nunton
Nunton is a small crofting settlement on the island of Benbecula in Scotland’s Outer Hebrides, known for its traditional landscape and historic township character.
-
C.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
-
D.
Hunston
Hunston is a small village and civil parish on the Manhood Peninsula in West Sussex, England.
-
E.
Dahlbury
Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
- 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: Dunton Triple: [Ford Europe, hasDesignCenterIn, Dunton]
Generated description
Dunton is a major automotive engineering and design center in the United Kingdom, best known as Ford of Europe’s primary research and development facility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dunton Target entity description: Dunton is a major automotive engineering and design center in the United Kingdom, best known as Ford of Europe’s primary research and development facility.
-
A.
Dunsdale
Dunsdale is a small village located within the borough of Redcar and Cleveland in North Yorkshire, England.
-
B.
Nunton
Nunton is a small crofting settlement on the island of Benbecula in Scotland’s Outer Hebrides, known for its traditional landscape and historic township character.
-
C.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
-
D.
Hunston
Hunston is a small village and civil parish on the Manhood Peninsula in West Sussex, England.
-
E.
Dahlbury
Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8643748190a7801fc401dd2b5a |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e42f3eaa0c819095e5af20b910d979 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e43771eaec8190be9bb709723931e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.