Triple

T23009974
Position Surface form Disambiguated ID Type / Status
Subject Beaches—East York E572880 entity
Predicate createdFrom P5574 FINISHED
Object Greenwood
Greenwood is a former Toronto municipal area whose territory was incorporated into the present-day district of Beaches—East York.
 E1566725 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: Greenwood | Statement: [Beaches—East York, createdFrom, Greenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greenwood
Context triple: [Beaches—East York, createdFrom, Greenwood]
  • A. Greenwood
    Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
  • B. Greenwood
    Greenwood is a residential neighborhood within the city of Wakefield in Middlesex County, Massachusetts.
  • C. Greenwood
    Greenwood is a small city in the Mississippi Delta region of the United States, historically known as a center of cotton production and civil rights–era activity.
  • D. Greenwood
    Greenwood is a small lakeside city in Minnesota situated along the shores of Lake Minnetonka.
  • E. Greenwood
    Greenwood is a small city in South Carolina that serves as the administrative and commercial hub of Greenwood County.
  • 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: Greenwood
Triple: [Beaches—East York, createdFrom, Greenwood]
Generated description
Greenwood is a former Toronto municipal area whose territory was incorporated into the present-day district of Beaches—East York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greenwood
Target entity description: Greenwood is a former Toronto municipal area whose territory was incorporated into the present-day district of Beaches—East York.
  • A. Greenwood
    Greenwood is a small rural community and neighbourhood within the City of Pickering in Ontario, Canada.
  • B. Greenwood
    Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
  • C. Greenwood
    Greenwood is a small lakeside city in Minnesota situated along the shores of Lake Minnetonka.
  • D. Greenwood
    Greenwood is a small village in Kings County, Nova Scotia, known for its close association with the nearby Royal Canadian Air Force base, CFB Greenwood.
  • E. Greenwood
    Greenwood is a residential neighborhood within the city of Wakefield in Middlesex County, Massachusetts.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18359f5548190b15a139eb09e30a0 completed April 29, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2a4a994819080e3aec3bc83d30f completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bfa853e448190ad7525deb3d181a7 completed May 19, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0bfd3776008190a7f17a0107fb4e58 completed May 19, 2026, 6:03 a.m.
Created at: April 17, 2026, 3:51 p.m.