Triple

T2729257
Position Surface form Disambiguated ID Type / Status
Subject Hartford County E60269 entity
Predicate hasCity P316 FINISHED
Object Marlborough
Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
 E292969 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: Marlborough | Statement: [Hartford County, hasCity, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marlborough
Context triple: [Hartford County, hasCity, Marlborough]
  • A. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • B. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • C. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • D. Wilton
    Wilton was a former UK parliamentary constituency in Wiltshire, historically represented in the House of Commons before its abolition in the 19th century.
  • E. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • 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: Marlborough
Triple: [Hartford County, hasCity, Marlborough]
Generated description
Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marlborough
Target entity description: Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
  • A. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • B. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • C. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • D. Wilton
    Wilton was a former UK parliamentary constituency in Wiltshire, historically represented in the House of Commons before its abolition in the 19th century.
  • E. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeaee388190a21e7fa0b8f83546 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69aa8b081909c57e8a7f64d0913 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb717260c8190a93641152f163879 completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb781327c819090c42c461d17762e completed March 10, 2026, 6:17 a.m.
Created at: March 6, 2026, 9:56 p.m.