Triple

T12361061
Position Surface form Disambiguated ID Type / Status
Subject Ethel Walker School E294736 entity
Predicate city P40 FINISHED
Object Simsbury E301949 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: Simsbury | Statement: [Ethel Walker School, city, Simsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simsbury
Context triple: [Ethel Walker School, city, 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. Watertown, Connecticut
    Watertown, Connecticut is a small New England town known for its historic character and residential communities in western Connecticut.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f91a1908190a8a4fa9da3b47933 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dcec0c8190a5e4ac0aafd34504 completed May 9, 2026, 6:54 p.m.
Created at: April 8, 2026, 9:54 p.m.