Triple

T8927066
Position Surface form Disambiguated ID Type / Status
Subject Denny Triangle E212561 entity
Predicate borderedBy P224 FINISHED
Object Belltown E212560 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: Belltown | Statement: [Denny Triangle, borderedBy, Belltown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belltown
Context triple: [Denny Triangle, borderedBy, Belltown]
  • A. Belltown chosen
    Belltown is a densely populated, trendy Seattle neighborhood known for its waterfront views, nightlife, restaurants, and art scene.
  • B. Parktown
    Parktown is a historic, affluent suburb of Johannesburg, South Africa, known for its early 20th-century architecture, tree-lined streets, and proximity to the city’s central business and academic districts.
  • C. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • D. Bellevue
    Bellevue is a commuter rail station in West Roxbury, Boston, served by the MBTA's Needham Line.
  • E. Bellevue
    Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its thriving downtown, tech industry presence, and high quality of life.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6671557c81909f3837ffd6a15ffe completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5e887c8190851f2fb533653c6e completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.