Triple

T3032615
Position Surface form Disambiguated ID Type / Status
Subject Bay Wellington Tower E82931 entity
Predicate developer P73 FINISHED
Object Olympia and York
Olympia and York was a major Canadian real estate development firm best known for building large-scale office complexes such as Toronto’s First Canadian Place and London’s Canary Wharf.
 E319811 NE FINISHED

How this triple was built (4 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: Olympia and York | Statement: [Bay Wellington Tower, developer, Olympia and York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olympia and York
Context triple: [Bay Wellington Tower, developer, Olympia and York]
  • A. Douglas
    Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • D. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • E. Douglas
    Douglas is a community area on the South Side of Chicago, Illinois, known for its historic residential neighborhoods and proximity to the city’s lakefront.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Olympia and York
Triple: [Bay Wellington Tower, developer, Olympia and York]
Generated description
Olympia and York was a major Canadian real estate development firm best known for building large-scale office complexes such as Toronto’s First Canadian Place and London’s Canary Wharf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olympia and York
Target entity description: Olympia and York was a major Canadian real estate development firm best known for building large-scale office complexes such as Toronto’s First Canadian Place and London’s Canary Wharf.
  • A. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • B. Douglas
    Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
  • C. Douglas
    Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • D. Douglas
    Douglas is a community area on the South Side of Chicago, Illinois, known for its historic residential neighborhoods and proximity to the city’s lakefront.
  • E. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • F. None of above. chosen

Provenance (5 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aefc2dc8190ad9b349ca45b7e30 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1debfa51881909e41c55774bbccf9 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1df29c6e48190bd95c9e5c091d6d5 completed March 11, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69b1df8705fc8190827d1d131a6f274a completed March 11, 2026, 9:32 p.m.
Created at: March 8, 2026, 3:01 p.m.