Triple

T1035049
Position Surface form Disambiguated ID Type / Status
Subject Annapolis E22341 entity
Predicate originalName P65 FINISHED
Object Providence E143420 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: Providence | Statement: [Annapolis, originalName, Providence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Providence
Context triple: [Annapolis, originalName, Providence]
  • A. 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.
  • B. Providence chosen
    Providence is a small rural town in Saratoga County, New York, known for its forests, lakes, and Adirondack foothills setting.
  • C. Pawtucket
    Pawtucket is an industrial city in northeastern Rhode Island known historically as a birthplace of the American Industrial Revolution.
  • D. Hartford
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • 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 (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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b814c16c8190ac4d20feecdadbae completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad519194988190bb0eb59e7fa34dea completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 7:41 p.m.