Triple
T2345148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton |
E45112
|
entity |
| Predicate | historicalCounty |
P1069
|
FINISHED |
| Object |
Sussex
Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
|
E361007
|
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 | Statement: [Brighton, historicalCounty, Sussex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sussex Context triple: [Brighton, historicalCounty, Sussex]
-
A.
Sussex
Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
-
B.
East Sussex
East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
-
C.
West Sussex
West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
-
D.
Essex
Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
-
E.
Hampshire
Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
- 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 Triple: [Brighton, historicalCounty, Sussex]
Generated description
Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sussex Target entity description: Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
-
A.
Sussex
Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
-
B.
East Sussex
East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
-
C.
West Sussex
West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
-
D.
Essex
Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
-
E.
Hampshire
Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c7cb9481909405aeb503f804ae |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367dc88ac81909e73e290c745b8be |
completed | March 13, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_69b3694c6c4081908549ab83a5052506 |
completed | March 13, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b369c7a06c819089b2decca626c554 |
completed | March 13, 2026, 1:35 a.m. |
Created at: March 4, 2026, 7:52 p.m.