Triple

T18887993
Position Surface form Disambiguated ID Type / Status
Subject A Municipal History of the Town and City of Boston E462007 entity
Predicate mainSubject P3 FINISHED
Object Boston NE NERFINISHED

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: [A Municipal History of the Town and City of Boston, mainSubject, Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston
Context triple: [A Municipal History of the Town and City of Boston, mainSubject, Boston]
  • A. Boston chosen
    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 World War II-era American light bomber aircraft, also known as the Douglas A-20 Havoc, used extensively by Allied air forces.
  • D. Boston
    Boston is a coastal municipality in the province of Davao Oriental on the island of Mindanao in the Philippines.
  • E. Boston
    Boston is a small town located in Wayne County, Indiana, in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4777434819098850da0ee1c6b43 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.