Triple

T16821747
Position Surface form Disambiguated ID Type / Status
Subject Hartford Flood of 1936 E408910 entity
Predicate hasLocation P40 FINISHED
Object Hartford, Connecticut 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: Hartford, Connecticut | Statement: [Hartford Flood of 1936, hasLocation, Hartford, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford, Connecticut
Context triple: [Hartford Flood of 1936, hasLocation, 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 (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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e77ab88190be1ec8179251864e completed April 18, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.