Triple

T12045982
Position Surface form Disambiguated ID Type / Status
Subject George Keller E286787 entity
Predicate areaOfInfluence P9 FINISHED
Object Hartford, Connecticut E67626 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: Hartford, Connecticut | Statement: [George Keller, areaOfInfluence, Hartford, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford, Connecticut
Context triple: [George Keller, areaOfInfluence, Hartford, Connecticut]
  • A. 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.
  • B. Hartford chosen
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • C. Hartford
    Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
  • D. Columbia, Connecticut
    Columbia, Connecticut is a small rural town in eastern Connecticut known for its scenic Columbia Lake and close-knit community.
  • E. Washington, Connecticut
    Washington, Connecticut is a small, historic New England town known for its rural charm, preserved landscapes, and role as the inspiration for the setting of the television series "Gilmore Girls."
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9041fe3b0819094b82a6b17ac59c3 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32359c54819098349d7d1c1e454f completed May 8, 2026, 12:45 a.m.
Created at: April 8, 2026, 9:47 p.m.