Triple

T554857
Position Surface form Disambiguated ID Type / Status
Subject Salisbury Cathedral E11920 entity
Predicate locatedIn P40 FINISHED
Object Salisbury
Salisbury is a historic cathedral city in Wiltshire, England, renowned for its medieval architecture and proximity to the ancient monument of Stonehenge.
 E87538 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: Salisbury | Statement: [Salisbury Cathedral, locatedIn, Salisbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salisbury
Context triple: [Salisbury Cathedral, locatedIn, Salisbury]
  • A. Salisbury
    Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
  • B. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • C. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • D. Dover
    Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
  • E. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • 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: Salisbury
Triple: [Salisbury Cathedral, locatedIn, Salisbury]
Generated description
Salisbury is a historic cathedral city in Wiltshire, England, renowned for its medieval architecture and proximity to the ancient monument of Stonehenge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salisbury
Target entity description: Salisbury is a historic cathedral city in Wiltshire, England, renowned for its medieval architecture and proximity to the ancient monument of Stonehenge.
  • A. Salisbury
    Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
  • B. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • C. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • D. Dover
    Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
  • E. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991c524481908b2bb88c4feabec6 completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a48e53081908e5d5e093edb5e75 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64ad340348190bec2454d5e1c0fa9 completed March 3, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69a64b4e9cec8190a3dcc378f853be0d completed March 3, 2026, 2:45 a.m.
Created at: March 1, 2026, 7:32 p.m.