Triple

T209065
Position Surface form Disambiguated ID Type / Status
Subject Harkness Tower E4672 entity
Predicate isLandmarkOf P6629 FINISHED
Object New Haven E14903 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: New Haven | Statement: [Harkness Tower, isLandmarkOf, New Haven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Haven
Context triple: [Harkness Tower, isLandmarkOf, New Haven]
  • A. 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.
  • B. New London, Connecticut
    New London, Connecticut is a historic coastal city on the Thames River known for its deep-water port, maritime heritage, and role in the American Revolutionary era.
  • C. Providence
    Providence is the capital and most populous city of Rhode Island, known for its historic architecture, prominent universities, and role as a cultural and economic center in New England.
  • D. Stamford, Connecticut
    Stamford, Connecticut is a major city in southwestern Connecticut known as a key financial and corporate hub within the New York metropolitan area.
  • E. Danbury, Connecticut
    Danbury, Connecticut is a city in western Connecticut known historically for its hat-making industry and as a regional commercial and cultural center.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a260c178ac819085eb94ccaf64b780 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a413ec957c8190a6f712556ea121cc completed March 1, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.