Triple

T19733931
Position Surface form Disambiguated ID Type / Status
Subject Glossop Brook E473924 entity
Predicate flowsThrough P225 FINISHED
Object Howard Town
Howard Town is the central district of Glossop in Derbyshire, England, historically known for its textile mills and industrial heritage.
E1393323 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: Howard Town | Statement: [Glossop Brook, flowsThrough, Howard Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Town
Context triple: [Glossop Brook, flowsThrough, Howard Town]
  • A. Williams Town
    Williams Town is a small settlement located on Little Exuma in The Bahamas, known for its quiet beaches and traditional island character.
  • B. Hugh Town
    Hugh Town is the main settlement and administrative center of the Isles of Scilly, located on the island of St Mary's off the southwestern coast of England.
  • C. Higher Town
    Higher Town is a small settlement associated with the parish of St Agnes in the Isles of Scilly, England.
  • D. Howardstown
    Howardstown is a small unincorporated community in central Kentucky.
  • E. Hillman City
    Hillman City is a small, historically diverse residential neighborhood in southeast Seattle known for its community-focused character and proximity to the Rainier Valley’s main transit and commercial corridors.
  • 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: Howard Town
Triple: [Glossop Brook, flowsThrough, Howard Town]
Generated description
Howard Town is the central district of Glossop in Derbyshire, England, historically known for its textile mills and industrial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard Town
Target entity description: Howard Town is the central district of Glossop in Derbyshire, England, historically known for its textile mills and industrial heritage.
  • A. Williams Town
    Williams Town is a small settlement located on Little Exuma in The Bahamas, known for its quiet beaches and traditional island character.
  • B. Hugh Town
    Hugh Town is the main settlement and administrative center of the Isles of Scilly, located on the island of St Mary's off the southwestern coast of England.
  • C. Higher Town
    Higher Town is a small settlement associated with the parish of St Agnes in the Isles of Scilly, England.
  • D. Howardstown
    Howardstown is a small unincorporated community in central Kentucky.
  • E. Hillman City
    Hillman City is a small, historically diverse residential neighborhood in southeast Seattle known for its community-focused character and proximity to the Rainier Valley’s main transit and commercial corridors.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515b4d308190af3be1787fa7c65b completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4f4e1e081908fca0b6513bb3bbb completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b73cc5a48190af0ab9da30c859b4 completed May 16, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_6a07b81193d081908dfb19272b4df41b completed May 16, 2026, 12:19 a.m.
Created at: April 10, 2026, 1:47 p.m.