Triple

T1769573
Position Surface form Disambiguated ID Type / Status
Subject Fitchburg E38842 entity
Predicate locatedNear P294 FINISHED
Object Ashby
Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
E207168 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: Ashby | Statement: [Fitchburg, locatedNear, Ashby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashby
Context triple: [Fitchburg, locatedNear, Ashby]
  • A. Ashbourne
    Ashbourne is a historic market town in Derbyshire, England, known for its traditional architecture and annual Royal Shrovetide Football match.
  • B. Long Ashton
    Long Ashton is a village and civil parish in North Somerset, England, located just southwest of Bristol.
  • C. Rugeley
    Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
  • D. Bolsover
    Bolsover is a historic market town in England best known for its hilltop Bolsover Castle and its location within the county of Derbyshire.
  • E. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • 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: Ashby
Triple: [Fitchburg, locatedNear, Ashby]
Generated description
Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashby
Target entity description: Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
  • A. Ashbourne
    Ashbourne is a historic market town in Derbyshire, England, known for its traditional architecture and annual Royal Shrovetide Football match.
  • B. Long Ashton
    Long Ashton is a village and civil parish in North Somerset, England, located just southwest of Bristol.
  • C. Rugeley
    Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
  • D. Bolsover
    Bolsover is a historic market town in England best known for its hilltop Bolsover Castle and its location within the county of Derbyshire.
  • E. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648eb9488190b1be2d2b6d259634 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1b679d88190b3c6e50c96f917e4 completed March 8, 2026, 7:44 p.m.
NEDg Description generation batch_69add246f1a88190b3e14d1e45f5d433 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add2afe284819083723ccaa2219222 completed March 8, 2026, 7:49 p.m.
Created at: March 4, 2026, 7:31 p.m.