Triple

T22068504
Position Surface form Disambiguated ID Type / Status
Subject William Poole E545342 entity
Predicate associatedWith P37 FINISHED
Object New York City volunteer fire companies — NE NERFINISHED

How this triple was built (3 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: New York City volunteer fire companies | Statement: [William Poole, associatedWith, New York City volunteer fire companies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New York City volunteer fire companies
Context triple: [William Poole, associatedWith, New York City volunteer fire companies]
  • A. Yonkers Fire Department
    The Yonkers Fire Department is the municipal firefighting and emergency response agency serving the city of Yonkers, New York.
  • B. Brooklyn Fire Department
    The Brooklyn Fire Department is the municipal agency responsible for providing fire suppression, emergency medical services, and rescue operations for the city of Brooklyn, Ohio.
  • C. Neversink Fire Company
    Neversink Fire Company is a local fire department that provides firefighting and emergency response services to North Cornwall Township, Pennsylvania.
  • D. Philadelphia Fire Department
    The Philadelphia Fire Department is the municipal agency responsible for providing fire suppression, emergency medical services, and rescue operations throughout the city of Philadelphia, Pennsylvania.
  • E. New York Volunteers
    The New York Volunteers were a Loyalist provincial regiment raised in the American colonies that fought on the British side during the American Revolutionary War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: New York City volunteer fire companies
Target entity description: New York City volunteer fire companies were 19th-century community-based firefighting organizations that played a significant role in the city’s public safety and local politics before the establishment of a professional fire department.
  • A. Yonkers Fire Department
    The Yonkers Fire Department is the municipal firefighting and emergency response agency serving the city of Yonkers, New York.
  • B. Brooklyn Fire Department
    The Brooklyn Fire Department is the municipal agency responsible for providing fire suppression, emergency medical services, and rescue operations for the city of Brooklyn, Ohio.
  • C. Neversink Fire Company
    Neversink Fire Company is a local fire department that provides firefighting and emergency response services to North Cornwall Township, Pennsylvania.
  • D. Philadelphia Fire Department
    The Philadelphia Fire Department is the municipal agency responsible for providing fire suppression, emergency medical services, and rescue operations throughout the city of Philadelphia, Pennsylvania.
  • E. New York Volunteers
    The New York Volunteers were a Loyalist provincial regiment raised in the American colonies that fought on the British side during the American Revolutionary War.
  • F. None of above. chosen

Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12885fe04819092cdde142f91e147 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:27 p.m.