Triple

T22424065
Position Surface form Disambiguated ID Type / Status
Subject Government Center area E554322 entity
Predicate partOf P40 FINISHED
Object Boston city center 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 city center | Statement: [Government Center area, partOf, Boston city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston city center
Context triple: [Government Center area, partOf, Boston city center]
  • A. Downtown Boston chosen
    Downtown Boston is the city’s historic and commercial core, known for its dense cluster of landmarks, offices, and shopping areas.
  • B. Boston city
    Boston is the capital and largest city of Massachusetts, known for its pivotal role in American history, prestigious universities, and vibrant cultural and economic life.
  • C. Boston town centre
    Boston town centre is the historic commercial and civic heart of Boston, Lincolnshire, featuring traditional markets, shops, and notable heritage buildings.
  • 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
    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 (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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2af620819083338127e78137dc completed April 29, 2026, 1:08 a.m.
Created at: April 16, 2026, 8:47 p.m.