Triple

T3089660
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Old Newton
Old Newton is a small rural village and civil parish located in the English county of Suffolk.
 E324521 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: Old Newton | Statement: [Suffolk, containsSettlement, Old Newton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Newton
Context triple: [Suffolk, containsSettlement, Old Newton]
  • A. Newton
    Newton is a suburban city in Massachusetts known for its residential neighborhoods, strong public schools, and proximity to Boston.
  • B. Newton
    Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
  • C. Newton
    Newton is a small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
  • D. The Newton Boys
    The Newton Boys is a 1998 crime drama film based on the true story of a gang of Texas brothers who became some of the most successful bank robbers in American history.
  • E. Isaac Newton
    Isaac Newton was a 17th-century English mathematician, physicist, and natural philosopher whose formulation of classical mechanics and universal gravitation laid the foundations of modern science.
  • 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: Old Newton
Triple: [Suffolk, containsSettlement, Old Newton]
Generated description
Old Newton is a small rural village and civil parish located in the English county of Suffolk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Old Newton
Target entity description: Old Newton is a small rural village and civil parish located in the English county of Suffolk.
  • A. Newton
    Newton is a suburban city in Massachusetts known for its residential neighborhoods, strong public schools, and proximity to Boston.
  • B. Newton
    Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
  • C. Newton
    Newton is a small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
  • D. The Newton Boys
    The Newton Boys is a 1998 crime drama film based on the true story of a gang of Texas brothers who became some of the most successful bank robbers in American history.
  • E. Isaac Newton
    Isaac Newton was a 17th-century English mathematician, physicist, and natural philosopher whose formulation of classical mechanics and universal gravitation laid the foundations of modern science.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a4c1f08190a80efd190e4ed07f completed March 11, 2026, 11:20 p.m.
NEDg Description generation batch_69b1f9617d2c8190884de2cd1d5fa88b completed March 11, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9da6ffc81909f84c2b9ac9e7f68 completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.