Triple

T8453730
Position Surface form Disambiguated ID Type / Status
Subject Greater Danbury E199865 entity
Predicate centeredOn P164 FINISHED
Object Danbury, Connecticut E39270 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: Danbury, Connecticut | Statement: [Greater Danbury, centeredOn, Danbury, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danbury, Connecticut
Context triple: [Greater Danbury, centeredOn, Danbury, Connecticut]
  • A. Danbury, Connecticut chosen
    Danbury, Connecticut is a city in western Connecticut known historically for its hat-making industry and as a regional commercial and cultural center.
  • B. Fairfield, Connecticut
    Fairfield, Connecticut is a coastal town in Fairfield County, known as an affluent suburban community along Long Island Sound in southwestern Connecticut.
  • C. Columbia, Connecticut
    Columbia, Connecticut is a small rural town in eastern Connecticut known for its scenic Columbia Lake and close-knit community.
  • D. Bristol, Connecticut
    Bristol, Connecticut is a city in central Connecticut best known as the longtime home of sports media giant ESPN.
  • E. Branford, Connecticut
    Branford, Connecticut is a coastal New Haven County town on Long Island Sound known for its historic town center, shoreline parks, and residential communities.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48aee388190864ef1186d5ee419 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49c59538081909102a6954f564e46 completed May 1, 2026, 12:28 p.m.
Created at: March 30, 2026, 6:09 p.m.