Triple

T17832791
Position Surface form Disambiguated ID Type / Status
Subject Sharon, Massachusetts E445302 entity
Predicate originalName P65 FINISHED
Object Stoughtonham
Stoughtonham was the former name of the town now known as Sharon in Norfolk County, Massachusetts.
 E1291299 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: Stoughtonham | Statement: [Sharon, Massachusetts, originalName, Stoughtonham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stoughtonham
Context triple: [Sharon, Massachusetts, originalName, Stoughtonham]
  • A. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • B. Brandeston
    Brandeston is a small rural village and civil parish located in the English county of Suffolk.
  • C. Haigslea
    Haigslea is a rural locality in Queensland, Australia, situated within the jurisdiction of the Ipswich City Council.
  • D. Halethorpe
    Halethorpe is an unincorporated community in Baltimore County, Maryland, known for its residential neighborhoods and proximity to major transportation routes and Baltimore City.
  • E. Hempton
    Hempton is a small village in Norfolk, England, situated close to the market town of Fakenham.
  • 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: Stoughtonham
Triple: [Sharon, Massachusetts, originalName, Stoughtonham]
Generated description
Stoughtonham was the former name of the town now known as Sharon in Norfolk County, Massachusetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stoughtonham
Target entity description: Stoughtonham was the former name of the town now known as Sharon in Norfolk County, Massachusetts.
  • A. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • B. Brandeston
    Brandeston is a small rural village and civil parish located in the English county of Suffolk.
  • C. Haigslea
    Haigslea is a rural locality in Queensland, Australia, situated within the jurisdiction of the Ipswich City Council.
  • D. Halethorpe
    Halethorpe is an unincorporated community in Baltimore County, Maryland, known for its residential neighborhoods and proximity to major transportation routes and Baltimore City.
  • E. Hempton
    Hempton is a small village in Norfolk, England, situated close to the market town of Fakenham.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d257414819088730f48ad7ab9ae completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f656788190814c2659b53e98ae completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307af95bc819099ff1322c091d04a completed May 12, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0308a29f1081909a44c221aefb723c completed May 12, 2026, 11:01 a.m.
Created at: April 10, 2026, 10:15 a.m.