Triple

T11998283
Position Surface form Disambiguated ID Type / Status
Subject Downtown Core E285585 entity
Predicate borders P224 FINISHED
Object Newton
Newton is a large, primarily residential planning area in eastern Singapore known for its food centre and proximity to the Orchard Road shopping district.
 E958908 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: Newton | Statement: [Downtown Core, borders, Newton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Newton
Context triple: [Downtown Core, borders, Newton]
  • A. Newton
    Newton is a small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
  • B. Newton
    Newton is a suburban city in Massachusetts known for its residential neighborhoods, strong public schools, and proximity to Boston.
  • C. Newton
    Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
  • D. Newton
    Newton is a small Midwestern town that later became known as Rensselaer in Indiana, United States.
  • E. Newton
    Newton is a small city in central Iowa known historically for its manufacturing industry, particularly as the former headquarters of the Maytag Corporation.
  • 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: Newton
Triple: [Downtown Core, borders, Newton]
Generated description
Newton is a large, primarily residential planning area in eastern Singapore known for its food centre and proximity to the Orchard Road shopping district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Newton
Target entity description: Newton is a large, primarily residential planning area in eastern Singapore known for its food centre and proximity to the Orchard Road shopping district.
  • 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 small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
  • C. Newton
    Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
  • D. Newton
    Newton is a small Midwestern town that later became known as Rensselaer in Indiana, United States.
  • E. Newton
    Newton is a small city in central Iowa known historically for its manufacturing industry, particularly as the former headquarters of the Maytag Corporation.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7e4a40819085680c48eed5418a completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47df40a8c8190bd7350ba27f57214 completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.