Triple

T13664843
Position Surface form Disambiguated ID Type / Status
Subject central Vermont E327090 entity
Predicate contains P35 FINISHED
Object Middlesex
Middlesex is a small rural town in Washington County, central Vermont, known for its scenic landscape and proximity to the state capital, Montpelier.
 E1052628 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: Middlesex | Statement: [central Vermont, contains, Middlesex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Middlesex
Context triple: [central Vermont, contains, Middlesex]
  • A. Middlesex
    Middlesex is a small town located in Yates County in the Finger Lakes region of New York State.
  • B. Middlesex
    Middlesex is a census division in southwestern Ontario, Canada, that includes the city of London and surrounding rural municipalities.
  • C. Middlesex
    Middlesex is a small village located in the Stann Creek District of Belize.
  • D. County of Middlesex
    The County of Middlesex is a historic county in southeast England that once encompassed much of what is now Greater London and surrounding areas.
  • E. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • 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: Middlesex
Triple: [central Vermont, contains, Middlesex]
Generated description
Middlesex is a small rural town in Washington County, central Vermont, known for its scenic landscape and proximity to the state capital, Montpelier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Middlesex
Target entity description: Middlesex is a small rural town in Washington County, central Vermont, known for its scenic landscape and proximity to the state capital, Montpelier.
  • A. Middlesex
    Middlesex is a small town located in Yates County in the Finger Lakes region of New York State.
  • B. Middlesex
    Middlesex is a census division in southwestern Ontario, Canada, that includes the city of London and surrounding rural municipalities.
  • C. Middlesex
    Middlesex is a small village located in the Stann Creek District of Belize.
  • D. County of Middlesex
    The County of Middlesex is a historic county in southeast England that once encompassed much of what is now Greater London and surrounding areas.
  • E. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.