Triple

T22833559
Position Surface form Disambiguated ID Type / Status
Subject Rensselaer, Indiana E565875 entity
Predicate hasFormerName P65 FINISHED
Object Newton
Newton was the original name of the town now known as Rensselaer in Jasper County, Indiana.
E565875 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: [Rensselaer, Indiana, hasFormerName, Newton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton
Context triple: [Rensselaer, Indiana, hasFormerName, 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 brand of soft, fruit-filled cookie bars best known for its classic fig variety, Fig Newtons.
  • C. Newton
    Newton is a coastal village in South Wales, United Kingdom, situated near the popular holiday destination of Trecco Bay.
  • D. Newton
    Newton is a major residential and commercial neighbourhood in the city of Surrey, British Columbia, known as one of its key town centres.
  • E. Newton
    Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
  • 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: [Rensselaer, Indiana, hasFormerName, Newton]
Generated description
Newton was the original name of the town now known as Rensselaer in Jasper County, Indiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Newton
Target entity description: Newton was the original name of the town now known as Rensselaer in Jasper County, Indiana.
  • A. Newton chosen
    Newton is a small Midwestern town that later became known as Rensselaer in Indiana, United States.
  • B. Newton
    Newton is a small city in central Iowa known historically for its manufacturing industry, particularly as the former headquarters of the Maytag Corporation.
  • C. Newton
    Newton is a small town in Cache County, Utah, known for its rural character and proximity to outdoor recreation in northern Utah.
  • D. Newton
    Newton is the vehicle registration code used on license plates issued in Newton County, Georgia.
  • E. Newton
    Newton is a small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2d830881908d69929b854aad66 completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7aff6c88190a6de35b5c784b8e5 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8cdb0d48190b2215ef9f2d5ccb3 completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba98d8adc8190ba5f7a542bb08f9f completed May 19, 2026, 12:06 a.m.
Created at: April 17, 2026, 3:35 p.m.