Triple

T14844651
Position Surface form Disambiguated ID Type / Status
Subject Lewesdon Hill E349053 entity
Predicate near P350 FINISHED
Object Beaminster
Beaminster is a small historic market town in Dorset, England, known for its picturesque countryside setting and traditional architecture.
E1130289 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: Beaminster | Statement: [Lewesdon Hill, near, Beaminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaminster
Context triple: [Lewesdon Hill, near, Beaminster]
  • A. Sturminster Marshall
    Sturminster Marshall is a village and civil parish in Dorset, England, known for its rural character and historic parish church.
  • B. Bideford
    Bideford is a historic port town on the River Torridge in North Devon, England, known for its maritime heritage and role as a local commercial center.
  • C. Bridgwater
    Bridgwater is a historic market town in Somerset, England, known for its maritime heritage and role in regional trade and industry.
  • D. Sherborne
    Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
  • E. Sherborne
    Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
  • 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: Beaminster
Triple: [Lewesdon Hill, near, Beaminster]
Generated description
Beaminster is a small historic market town in Dorset, England, known for its picturesque countryside setting and traditional architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beaminster
Target entity description: Beaminster is a small historic market town in Dorset, England, known for its picturesque countryside setting and traditional architecture.
  • A. Sturminster Marshall
    Sturminster Marshall is a village and civil parish in Dorset, England, known for its rural character and historic parish church.
  • B. Bideford
    Bideford is a historic port town on the River Torridge in North Devon, England, known for its maritime heritage and role as a local commercial center.
  • C. Bridgwater
    Bridgwater is a historic market town in Somerset, England, known for its maritime heritage and role in regional trade and industry.
  • D. Sherborne
    Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
  • E. Sherborne
    Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc9db7c8190af08b26471d28e97 completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8dda21188190b9e82c70ef3a3ec0 completed May 9, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_69fe91a86ae881908b492a4f255866b9 completed May 9, 2026, 1:45 a.m.
Created at: April 10, 2026, 1:53 a.m.