Triple

T23090792
Position Surface form Disambiguated ID Type / Status
Subject Willingdon E575741 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Jevington
Jevington is a small rural village in East Sussex, England, known for its downland scenery and historic church.
E1570220 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: Jevington | Statement: [Willingdon, hasNearbySettlement, Jevington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jevington
Context triple: [Willingdon, hasNearbySettlement, Jevington]
  • A. Sevington
    Sevington is a village and civil parish in the Ashford district of Kent, England, known for its rural character and proximity to major transport links.
  • B. Bevington
    Bevington is a small city located in the U.S. state of Iowa.
  • C. Harvington
    Harvington is a village and civil parish in Worcestershire, England, known for its historic character and rural setting within the Wychavon district.
  • D. Elvington
    Elvington is a small village in Kent, England, known as a residential community within the Dover district.
  • E. Yorton
    Yorton is a small rural village in Shropshire, England, known for its modest railway station on the Crewe–Shrewsbury line.
  • 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: Jevington
Triple: [Willingdon, hasNearbySettlement, Jevington]
Generated description
Jevington is a small rural village in East Sussex, England, known for its downland scenery and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jevington
Target entity description: Jevington is a small rural village in East Sussex, England, known for its downland scenery and historic church.
  • A. Sevington
    Sevington is a village and civil parish in the Ashford district of Kent, England, known for its rural character and proximity to major transport links.
  • B. Bevington
    Bevington is a small city located in the U.S. state of Iowa.
  • C. Harvington
    Harvington is a village and civil parish in Worcestershire, England, known for its historic character and rural setting within the Wychavon district.
  • D. Elvington
    Elvington is a small village in Kent, England, known as a residential community within the Dover district.
  • E. Yorton
    Yorton is a small rural village in Shropshire, England, known for its modest railway station on the Crewe–Shrewsbury line.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da99bec81908ecadf8dab10d1b7 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b77f7c8190b374a581b776d155 completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c17791f8481909f0f42f9122e0c3a completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1863ea2c81909345cb5701fcd8ed completed May 19, 2026, 7:59 a.m.
Created at: April 17, 2026, 3:57 p.m.