Triple
T20996155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falmer, East Sussex, England |
E517154
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Brighton and Hove
Brighton and Hove is a vibrant coastal city in East Sussex, England, known for its seaside tourism, cultural scene, and iconic Brighton Pier.
|
E45112
|
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: Brighton and Hove | Statement: [Falmer, East Sussex, England, near, Brighton and Hove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brighton and Hove Context triple: [Falmer, East Sussex, England, near, Brighton and Hove]
-
A.
Brighton
Brighton is a major seaside city on England’s south coast, renowned for its beach, pier, and vibrant cultural and nightlife scenes.
-
B.
Brighton
Brighton is a coastal suburb of Adelaide in South Australia, known for its beach, jetty, and relaxed seaside atmosphere.
-
C.
Brighton
Brighton is a residential neighborhood in the western part of Boston, Massachusetts, known for its mix of students, young professionals, and long-time residents.
-
D.
Brighton
Brighton is a small mountain resort town in Utah known for its ski area, alpine scenery, and outdoor recreation.
-
E.
Brighton
Brighton is a small city in Colorado that forms part of the Denver metropolitan area along the Front Range of the Rocky Mountains.
- 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: Brighton and Hove Triple: [Falmer, East Sussex, England, near, Brighton and Hove]
Generated description
Brighton and Hove is a vibrant coastal city in East Sussex, England, known for its seaside tourism, cultural scene, and iconic Brighton Pier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brighton and Hove Target entity description: Brighton and Hove is a vibrant coastal city in East Sussex, England, known for its seaside tourism, cultural scene, and iconic Brighton Pier.
-
A.
Brighton
Brighton is a residential neighborhood in the western part of Boston, Massachusetts, known for its mix of students, young professionals, and long-time residents.
-
B.
Brighton
Brighton is a small city in Colorado that forms part of the Denver metropolitan area along the Front Range of the Rocky Mountains.
-
C.
Brighton
Brighton is a small mountain resort town in Utah known for its ski area, alpine scenery, and outdoor recreation.
-
D.
Brighton
Brighton is a small municipality in southeastern Ontario, Canada, known for its rural charm, proximity to Lake Ontario, and nearby Presqu’ile Provincial Park.
-
E.
Brighton
chosen
Brighton is a major seaside city on England’s south coast, renowned for its beach, pier, and vibrant cultural and nightlife scenes.
- F. None of above.
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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1fd5d48190a56981cee95ebd69 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b4fd8748190b90a50feac5c7517 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093f361a288190bc373e95f7e9dd63 |
completed | May 17, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093fa8a998819080a96e67d34a5f52 |
completed | May 17, 2026, 4:10 a.m. |
Created at: April 16, 2026, 1:50 p.m.