Triple

T15095554
Position Surface form Disambiguated ID Type / Status
Subject James Tyrone E360526 entity
Predicate setting P1957 FINISHED
Object New London, Connecticut E50140 NE FINISHED

How this triple was built (2 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 London, Connecticut | Statement: [James Tyrone, setting, New London, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New London, Connecticut
Context triple: [James Tyrone, setting, New London, Connecticut]
  • A. New London, Connecticut chosen
    New London, Connecticut is a historic coastal city on the Thames River known for its deep-water port, maritime heritage, and role in the American Revolutionary era.
  • B. New London
    New London is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
  • C. New London
    New London is a small village in Huron County, Ohio, known for its rural character and tight-knit community.
  • D. New London
    New London is a small town located in Stanly County in the central region of North Carolina, United States.
  • E. New Haven, Connecticut
    New Haven, Connecticut is a historic coastal city in southern New England best known as the home of Yale University and a major center of education, culture, and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005466e9c8190a68e1fbeb8922b1a completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001799fbac8190b75a48a8c63e3381 completed May 10, 2026, 5:28 a.m.
Created at: April 10, 2026, 3:04 a.m.