Triple

T498884
Position Surface form Disambiguated ID Type / Status
Subject Isle of Wight E10355 entity
Predicate containsSettlement P847 FINISHED
Object Sandown
Sandown is a seaside resort town on the southeast coast of England’s Isle of Wight, known for its sandy beach and traditional holiday attractions.
 E65531 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: Sandown | Statement: [Isle of Wight, containsSettlement, Sandown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sandown
Context triple: [Isle of Wight, containsSettlement, Sandown]
  • A. Cowes
    Cowes is a coastal town on the Isle of Wight in southern England, best known as a major international yachting and sailing centre.
  • B. Buckhaven
    Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
  • C. Ramsgate
    Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
  • D. Port Talbot
    Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
  • E. Bridgend
    Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
  • 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: Sandown
Triple: [Isle of Wight, containsSettlement, Sandown]
Generated description
Sandown is a seaside resort town on the southeast coast of England’s Isle of Wight, known for its sandy beach and traditional holiday attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sandown
Target entity description: Sandown is a seaside resort town on the southeast coast of England’s Isle of Wight, known for its sandy beach and traditional holiday attractions.
  • A. Cowes
    Cowes is a coastal town on the Isle of Wight in southern England, best known as a major international yachting and sailing centre.
  • B. Buckhaven
    Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
  • C. Ramsgate
    Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
  • D. Port Talbot
    Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
  • E. Bridgend
    Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f119b14c8190a5a6b119579c2682 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23bf69481908db3a0f3de8c2bf1 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b2c975ec8190bc16f146f89c3f05 completed March 1, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69a4b343f8f88190bd011924dd485bef completed March 1, 2026, 9:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.