Triple
T1207023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Manufacturing UK |
E25911
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
TMUK
TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
|
E137834
|
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: TMUK | Statement: [Toyota Manufacturing UK, abbreviation, TMUK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMUK Context triple: [Toyota Manufacturing UK, abbreviation, TMUK]
-
A.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
-
B.
Nottingham Trent University
Nottingham Trent University is a large public research university based in Nottingham, England, known for its career-focused courses and strong industry links.
-
C.
Coventry University
Coventry University is a public research university located in the city of Coventry in England’s West Midlands, known for its career-focused courses and strong links with industry.
-
D.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
E.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
- 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: TMUK Triple: [Toyota Manufacturing UK, abbreviation, TMUK]
Generated description
TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TMUK Target entity description: TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
-
A.
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
-
B.
Nottingham Trent University
Nottingham Trent University is a large public research university based in Nottingham, England, known for its career-focused courses and strong industry links.
-
C.
Coventry University
Coventry University is a public research university located in the city of Coventry in England’s West Midlands, known for its career-focused courses and strong links with industry.
-
D.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
E.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3f4c508190bdc3d436d393daf9 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fc59a488190adbdf156aaff8c03 |
completed | March 7, 2026, 7:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac806a6d748190acc5cdfa8fb90a64 |
completed | March 7, 2026, 7:45 p.m. |
Created at: March 1, 2026, 7:46 p.m.