Triple

T20283827
Position Surface form Disambiguated ID Type / Status
Subject Southbourne E503221 entity
Predicate hasSettlementPart P8239 FINISHED
Object Prinsted
Prinsted is a small coastal village in West Sussex, England, forming part of the civil parish of Southbourne.
 E1421908 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: Prinsted | Statement: [Southbourne, hasSettlementPart, Prinsted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prinsted
Context triple: [Southbourne, hasSettlementPart, Prinsted]
  • A. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • B. Hedensted
    Hedensted is a town and municipality in the Central Denmark Region known for its residential communities and local industry.
  • C. Stavtrup
    Stavtrup is a residential neighborhood in the southwestern part of Aarhus, Denmark, known for its suburban character and proximity to nature.
  • D. Padborg
    Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
  • E. Ringsted
    Ringsted is a historic market town and transport hub located in the central part of the Danish island of Zealand.
  • 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: Prinsted
Triple: [Southbourne, hasSettlementPart, Prinsted]
Generated description
Prinsted is a small coastal village in West Sussex, England, forming part of the civil parish of Southbourne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prinsted
Target entity description: Prinsted is a small coastal village in West Sussex, England, forming part of the civil parish of Southbourne.
  • A. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • B. Hedensted
    Hedensted is a town and municipality in the Central Denmark Region known for its residential communities and local industry.
  • C. Stavtrup
    Stavtrup is a residential neighborhood in the southwestern part of Aarhus, Denmark, known for its suburban character and proximity to nature.
  • D. Padborg
    Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
  • E. Ringsted
    Ringsted is a historic market town and transport hub located in the central part of the Danish island of Zealand.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6769049b48190bc449557b79b9e81 completed April 20, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a27ba5081908af4f2cdc3a2040f completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ab05b708190b69aaeb43aca664e completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085b505a0481909e3f54868b732fc8 completed May 16, 2026, 11:56 a.m.
Created at: April 16, 2026, 10:48 a.m.