Triple

T8459471
Position Surface form Disambiguated ID Type / Status
Subject City of Pickering E200004 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Greenwood
Greenwood is a small rural community and neighbourhood within the City of Pickering in Ontario, Canada.
 E735296 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: [City of Pickering, hasNeighbourhood, Greenwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greenwood
Context triple: [City of Pickering, hasNeighbourhood, Greenwood]
  • A. Greenwood
    Greenwood is a residential neighborhood within the city of Wakefield in Middlesex County, Massachusetts.
  • B. Greenwood
    Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
  • C. Greenwood
    Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
  • D. Greenwood
    Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • E. Greenwood
    Greenwood is a suburban city in central Indiana located just south of Indianapolis, known for its residential communities and retail centers.
  • 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: [City of Pickering, hasNeighbourhood, Greenwood]
Generated description
Greenwood is a small rural community and neighbourhood within the City of Pickering in Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greenwood
Target entity description: Greenwood is a small rural community and neighbourhood within the City of Pickering in Ontario, Canada.
  • 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 Warwick in the U.S. state of Rhode Island.
  • C. Greenwood
    Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • D. Greenwood
    Greenwood is a residential neighborhood within the city of Wakefield in Middlesex County, Massachusetts.
  • E. Greenwood
    Greenwood is a suburban city in central Indiana located just south of Indianapolis, known for its residential communities and retail centers.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49e036c8190abb50ca272266ca6 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1df214ac8190b59daa88e3a930bc completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce21c53298819080137c87ff487b50 completed April 2, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69ce23d6da1c8190a28bc895d737595e completed April 2, 2026, 8:07 a.m.
Created at: March 30, 2026, 6:10 p.m.