Triple
T7235561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewes |
E155214
|
entity |
| Predicate | hasLocalNewspaper |
P80
|
FINISHED |
| Object |
Sussex Express
Sussex Express is a regional newspaper serving the town of Lewes and the wider Sussex area in England.
|
E651020
|
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: Sussex Express | Statement: [Lewes, hasLocalNewspaper, Sussex Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sussex Express Context triple: [Lewes, hasLocalNewspaper, Sussex Express]
-
A.
Windsor Express
Windsor Express is a professional basketball team based in Windsor, Ontario, competing in the National Basketball League of Canada.
-
B.
Kentish Express
Kentish Express is a local newspaper serving Ashford and the surrounding area in Kent, England.
-
C.
Brighton Express
The Brighton Express was a historic New York City rapid transit service that operated along the Brighton Line in Brooklyn before being succeeded by the modern Q train.
-
D.
Rhônexpress
Rhônexpress is an express tram-train service in Lyon, France, that links the city center with Lyon–Saint-Exupéry Airport.
-
E.
Nova Express
Nova Express is an experimental science fiction novel by William S. Burroughs that continues his cut-up style exploration of control, addiction, and societal manipulation.
- 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: Sussex Express Triple: [Lewes, hasLocalNewspaper, Sussex Express]
Generated description
Sussex Express is a regional newspaper serving the town of Lewes and the wider Sussex area in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sussex Express Target entity description: Sussex Express is a regional newspaper serving the town of Lewes and the wider Sussex area in England.
-
A.
Windsor Express
Windsor Express is a professional basketball team based in Windsor, Ontario, competing in the National Basketball League of Canada.
-
B.
Kentish Express
Kentish Express is a local newspaper serving Ashford and the surrounding area in Kent, England.
-
C.
Brighton Express
The Brighton Express was a historic New York City rapid transit service that operated along the Brighton Line in Brooklyn before being succeeded by the modern Q train.
-
D.
Rhônexpress
Rhônexpress is an express tram-train service in Lyon, France, that links the city center with Lyon–Saint-Exupéry Airport.
-
E.
Nova Express
Nova Express is an experimental science fiction novel by William S. Burroughs that continues his cut-up style exploration of control, addiction, and societal manipulation.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea33dd3481908ebb050e1fab5aaa |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc32d6c48190ae78b3d1227bb868 |
completed | March 28, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69c7cdce27548190bb0c026f70fd915a |
completed | March 28, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ce41ed088190b423ed7955c68eeb |
completed | March 28, 2026, 12:49 p.m. |
Created at: March 27, 2026, 2:55 p.m.