Triple

T11471767
Position Surface form Disambiguated ID Type / Status
Subject Halfpenny Green E271925 entity
Predicate near P350 FINISHED
Object Bobbington
Bobbington is a small rural village and civil parish in South Staffordshire, England, known for its countryside setting and proximity to Halfpenny Green and its airfield.
 E927346 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: Bobbington | Statement: [Halfpenny Green, near, Bobbington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bobbington
Context triple: [Halfpenny Green, near, Bobbington]
  • A. Knaphill
    Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
  • B. Bovingdon
    Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
  • C. Honington
    Honington is a small rural village and civil parish in Suffolk, England, known for its agricultural surroundings and proximity to RAF Honington.
  • D. Mulbarton
    Mulbarton is a village and civil parish in South Norfolk, England, situated a few miles south of the city of Norwich.
  • E. Chatteris
    Chatteris is a small market town in the Fenland district of Cambridgeshire, England, known for its agricultural surroundings and historic parish church.
  • 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: Bobbington
Triple: [Halfpenny Green, near, Bobbington]
Generated description
Bobbington is a small rural village and civil parish in South Staffordshire, England, known for its countryside setting and proximity to Halfpenny Green and its airfield.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bobbington
Target entity description: Bobbington is a small rural village and civil parish in South Staffordshire, England, known for its countryside setting and proximity to Halfpenny Green and its airfield.
  • A. Knaphill
    Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
  • B. Bovingdon
    Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
  • C. Honington
    Honington is a small rural village and civil parish in Suffolk, England, known for its agricultural surroundings and proximity to RAF Honington.
  • D. Mulbarton
    Mulbarton is a village and civil parish in South Norfolk, England, situated a few miles south of the city of Norwich.
  • E. Chatteris
    Chatteris is a small market town in the Fenland district of Cambridgeshire, England, known for its agricultural surroundings and historic parish church.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d82949e3688190b024a4980666c94f completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e95a479c81909a330c9721bd3902 completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f15a50b881908d0930021833ae74 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f88f16748190826a7fc5d27019d7 completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.