Triple

T13738296
Position Surface form Disambiguated ID Type / Status
Subject 7L & Esoteric E330008 entity
Predicate locationOfFormation P3743 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: [7L & Esoteric, locationOfFormation, Boston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston
Context triple: [7L & Esoteric, locationOfFormation, 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeed4548819082038c5b88ccd212 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 9:55 p.m.