Triple

T22336458
Position Surface form Disambiguated ID Type / Status
Subject Southern Connecticut State University E552158 entity
Predicate hasCity P316 FINISHED
Object New Haven 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: New Haven | Statement: [Southern Connecticut State University, hasCity, New Haven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Haven
Context triple: [Southern Connecticut State University, hasCity, New Haven]
  • A. New Haven
    New Haven is a small city in central Kentucky known for its historic railroad heritage and proximity to the Kentucky Railway Museum.
  • B. New Haven, Connecticut chosen
    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.
  • C. Hartford
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • D. Hartford
    Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
  • E. West Haven
    West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577f2f208190ac6270ac4581fa15 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.