Triple

T10737392
Position Surface form Disambiguated ID Type / Status
Subject Love, Rosie E253227 entity
Predicate setting P1957 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: [Love, Rosie, setting, Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston
Context triple: [Love, Rosie, setting, Boston]
  • A. Boston
    Boston is a historic market town and port in Lincolnshire, England, known for its medieval church St Botolph's ("The Stump") and its role in early English Puritan emigration to America.
  • B. Boston
    Boston is a historic market town and port in Lincolnshire, England, known for its medieval church St Botolph's ("The Stump") and its role in the origins of the Pilgrim Fathers.
  • C. Boston
    Boston is a historic market and port town in Lincolnshire, England, known for its medieval church St Botolph's ("The Stump") and its role in early Puritan emigration to America.
  • D. Boston
    Boston is a World War II-era American light bomber aircraft, also known as the Douglas A-20 Havoc, used extensively by Allied air forces.
  • E. 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.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de557c4ea4819090b0c6c2175e05ea completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:14 p.m.