Triple

T26475
Position Surface form Disambiguated ID Type / Status
Subject Harvard Business School E530 entity
Predicate city P40 FINISHED
Object Boston E884 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: Boston | Statement: [Harvard Business School, city, Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston
Context triple: [Harvard Business School, city, Boston]
  • A. Boston, Massachusetts chosen
    Boston, Massachusetts is a historic New England city and the capital of Massachusetts, known for its pivotal role in the American Revolution, prestigious universities, and cultural and economic influence.
  • B. Lowell, Massachusetts
    Lowell, Massachusetts is a historic New England city known as a cradle of the American Industrial Revolution and a center of early textile manufacturing.
  • C. Providence
    Providence is a small rural town in Saratoga County, New York, known for its forests, lakes, and Adirondack foothills setting.
  • D. 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.
  • E. Watertown, Massachusetts
    Watertown, Massachusetts is a historic suburban city just west of Boston, known for its early industrial development and significant Armenian-American community.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246776cf48190aca9855cb07e8d89 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ace52cf51881909ab5dc361d342ce7 completed March 8, 2026, 2:55 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.