Triple

T12714763
Position Surface form Disambiguated ID Type / Status
Subject Connecticut Route 10 E303807 entity
Predicate passesThrough P225 FINISHED
Object Simsbury NE NERFINISHED

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: Simsbury | Statement: [Connecticut Route 10, passesThrough, Simsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simsbury
Context triple: [Connecticut Route 10, passesThrough, Simsbury]
  • A. Simsbury chosen
    Simsbury is a historic New England town in north-central Connecticut known for its scenic Farmington River Valley setting and well-preserved colonial character.
  • B. Southington
    Southington is a suburban town in central Connecticut known for its residential communities, local industry, and annual Apple Harvest Festival.
  • C. Dayville, Connecticut
    Dayville, Connecticut is a small village and census-designated place within the town of Killingly in Windham County, known historically as a mill community in northeastern Connecticut.
  • D. Plainfield, Connecticut
    Plainfield, Connecticut is a small town in Windham County known for its historic mill villages and rural New England character.
  • E. Killingworth, Connecticut
    Killingworth, Connecticut is a small, rural New England town in Middlesex County known for its wooded landscapes, historic character, and quiet residential communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620a7554819083784897ff690652 completed April 10, 2026, 8:48 p.m.
Created at: April 9, 2026, 5:23 p.m.