Triple
T2137051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashford |
E46676
|
entity |
| Predicate | hasMedia |
P7961
|
FINISHED |
| Object |
Kentish Express
Kentish Express is a local newspaper serving Ashford and the surrounding area in Kent, England.
|
E237184
|
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: Kentish Express | Statement: [Ashford, hasMedia, Kentish Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kentish Express Context triple: [Ashford, hasMedia, Kentish Express]
-
A.
Greater Anglia
Greater Anglia is a British train operating company that provides passenger rail services across East Anglia and parts of London and the East of England.
-
B.
Windsor Express
Windsor Express is a professional basketball team based in Windsor, Ontario, competing in the National Basketball League of Canada.
-
C.
Heathrow Express
Heathrow Express is a non-stop high-speed train service linking London Paddington station with Heathrow Airport, providing one of the fastest rail connections between central London and the airport.
-
D.
Rhônexpress
Rhônexpress is an express tram-train service in Lyon, France, that links the city center with Lyon–Saint-Exupéry Airport.
-
E.
Gatwick Express
Gatwick Express is a non-stop train service in the United Kingdom that connects central London with Gatwick Airport.
- 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: Kentish Express Triple: [Ashford, hasMedia, Kentish Express]
Generated description
Kentish Express is a local newspaper serving Ashford and the surrounding area in Kent, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kentish Express Target entity description: Kentish Express is a local newspaper serving Ashford and the surrounding area in Kent, England.
-
A.
Greater Anglia
Greater Anglia is a British train operating company that provides passenger rail services across East Anglia and parts of London and the East of England.
-
B.
Windsor Express
Windsor Express is a professional basketball team based in Windsor, Ontario, competing in the National Basketball League of Canada.
-
C.
Heathrow Express
Heathrow Express is a non-stop high-speed train service linking London Paddington station with Heathrow Airport, providing one of the fastest rail connections between central London and the airport.
-
D.
Rhônexpress
Rhônexpress is an express tram-train service in Lyon, France, that links the city center with Lyon–Saint-Exupéry Airport.
-
E.
Gatwick Express
Gatwick Express is a non-stop train service in the United Kingdom that connects central London with Gatwick Airport.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdff9254819094d27405478e29a0 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51af1e708190b63418da77776084 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae5322097c81909d77d54ae258ab1a |
completed | March 9, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5365cd808190aa8363b612ef0ec5 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.