Triple

T14851418
Position Surface form Disambiguated ID Type / Status
Subject MaRS Discovery District E349235 entity
Predicate neighbourhood P988 FINISHED
Object Discovery District E104435 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: Discovery District | Statement: [MaRS Discovery District, neighbourhood, Discovery District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Discovery District
Context triple: [MaRS Discovery District, neighbourhood, Discovery District]
  • A. Discovery District
    Discovery District is a cultural and educational neighborhood in Columbus, Ohio, known for its museums, colleges, and arts institutions.
  • B. Discovery District chosen
    Discovery District is a major research and innovation hub in Toronto known for its concentration of hospitals, universities, and high-tech institutions.
  • C. Design District
    Design District is a trendy Miami neighborhood renowned for its high-end fashion boutiques, contemporary art galleries, and innovative architecture.
  • D. Opportunity District
    Opportunity District is one of the three main themed zones at Expo 2020 Dubai, focused on social impact, unlocking human potential, and sustainable development initiatives.
  • E. Sense District
    Sense District is an administrative district in the canton of Fribourg in western Switzerland, known for its predominantly German-speaking population and rural character.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded441e70881909bbf62b66d932aff completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.