Triple

T3318815
Position Surface form Disambiguated ID Type / Status
Subject South Gloucestershire E69742 entity
Predicate contains P35 FINISHED
Object Tytherington
Tytherington is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings.
 E345944 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: Tytherington | Statement: [South Gloucestershire, contains, Tytherington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tytherington
Context triple: [South Gloucestershire, contains, Tytherington]
  • A. Thropton
    Thropton is a small rural village in Northumberland, England, situated near the market town of Rothbury in the Coquet Valley.
  • B. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • C. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • D. Tilmanstone
    Tilmanstone is a small rural village in Kent, England, historically associated with coal mining and situated near the town of Dover.
  • E. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional 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: Tytherington
Triple: [South Gloucestershire, contains, Tytherington]
Generated description
Tytherington is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tytherington
Target entity description: Tytherington is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings.
  • A. Thropton
    Thropton is a small rural village in Northumberland, England, situated near the market town of Rothbury in the Coquet Valley.
  • B. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • C. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • D. Tilmanstone
    Tilmanstone is a small rural village in Kent, England, historically associated with coal mining and situated near the town of Dover.
  • E. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1151f3c8190911af4edac701116 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f40055a48190afe401a488d3ae34 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa0f9c348190a1d48003b96761a9 completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b3094548788190aac61165a982e5e9 completed March 12, 2026, 6:43 p.m.
Created at: March 8, 2026, 3:11 p.m.