Triple

T8957845
Position Surface form Disambiguated ID Type / Status
Subject Peter Mathieson E213519 entity
Predicate workLocation P7 FINISHED
Object Bristol
Bristol is a historic city in southwest England known for its maritime heritage, vibrant cultural scene, and prominent universities.
 E16444 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: Bristol | Statement: [Peter Mathieson, workLocation, Bristol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bristol
Context triple: [Peter Mathieson, workLocation, Bristol]
  • A. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • B. Bristol
    Bristol is a city in central Connecticut known historically for its clock-making industry and as the longtime home of ESPN’s headquarters.
  • C. Bristol
    Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
  • D. Bristol
    Bristol is a historic coastal town in Rhode Island known for its maritime heritage and one of the oldest continuous Fourth of July celebrations in the United States.
  • E. Bristol
    Bristol is a small community within the town of East Gwillimbury in Ontario, Canada.
  • 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: Bristol
Triple: [Peter Mathieson, workLocation, Bristol]
Generated description
Bristol is a historic city in southwest England known for its maritime heritage, vibrant cultural scene, and prominent universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bristol
Target entity description: Bristol is a historic city in southwest England known for its maritime heritage, vibrant cultural scene, and prominent universities.
  • A. Bristol chosen
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • B. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • C. Bristol
    Bristol is a city in central Connecticut known historically for its clock-making industry and as the longtime home of ESPN’s headquarters.
  • D. Bristol
    Bristol is a historic coastal town in Rhode Island known for its maritime heritage and one of the oldest continuous Fourth of July celebrations in the United States.
  • E. Bristol
    Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
  • F. None of above.

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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6729ab7c8190a6168f0aa70a5520 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd095a07c81908e164cfa68fb693e completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd10739ec8190bb7315bac5dedd81 completed April 3, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69cfd13494c481908df2f7c4dc2a6e28 completed April 3, 2026, 2:39 p.m.
Created at: March 30, 2026, 7 p.m.