Triple

T22357314
Position Surface form Disambiguated ID Type / Status
Subject Theater District (Boston) E552687 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: [Theater District (Boston), partOf, Boston city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston city center
Context triple: [Theater District (Boston), 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 coastal municipality in the province of Davao Oriental on the island of Mindanao in the Philippines.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d08b148190a9a4e445e8579219 completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:44 p.m.