Triple

T11714947
Position Surface form Disambiguated ID Type / Status
Subject Logan International Airport E278471 entity
Predicate location P40 FINISHED
Object Boston E906091 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: [Logan International Airport, location, Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston
Context triple: [Logan International Airport, location, 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 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 chosen
    Boston is a historic coastal city in Massachusetts known for its leading universities, financial and biotech industries, and pivotal role in American history.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1306859208190bc5d0b4f81fb1bff completed April 28, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:40 p.m.