Triple

T9993510
Position Surface form Disambiguated ID Type / Status
Subject York Regional Police E196944 entity
Predicate hasAbbreviation P43 FINISHED
Object YRP
YRP is the regional police service responsible for law enforcement and public safety in Ontario’s York Region, just north of Toronto.
 E833642 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: YRP | Statement: [York Regional Police, hasAbbreviation, YRP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YRP
Context triple: [York Regional Police, hasAbbreviation, YRP]
  • A. YPR
    YPR is the IATA airport code for Prince Rupert Airport, a regional airport serving the Prince Rupert area in British Columbia, Canada.
  • B. YRK
    YRK is the National Rail station code for York railway station, a major historic rail hub in North Yorkshire, England.
  • C. YRB
    YRB is a song featured on the hip-hop album "So Help Me God!" by 2 Chainz.
  • D. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • E. YRT
    YRT is the public transit system serving Ontario’s York Region, operating local and rapid buses that connect communities north of Toronto.
  • 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: YRP
Triple: [York Regional Police, hasAbbreviation, YRP]
Generated description
YRP is the regional police service responsible for law enforcement and public safety in Ontario’s York Region, just north of Toronto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YRP
Target entity description: YRP is the regional police service responsible for law enforcement and public safety in Ontario’s York Region, just north of Toronto.
  • A. YPR
    YPR is the IATA airport code for Prince Rupert Airport, a regional airport serving the Prince Rupert area in British Columbia, Canada.
  • B. YRK
    YRK is the National Rail station code for York railway station, a major historic rail hub in North Yorkshire, England.
  • C. YRB
    YRB is a song featured on the hip-hop album "So Help Me God!" by 2 Chainz.
  • D. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • E. YRT
    YRT is the public transit system serving Ontario’s York Region, operating local and rapid buses that connect communities north of Toronto.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb982d5c81909779c6e9d780b399 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2582ac03481908e76c10218f419d5 completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d259701e488190b288c9f523a1ec87 completed April 5, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69d259da25e081909ac184f4fa80c57e completed April 5, 2026, 12:47 p.m.
Created at: March 30, 2026, 8:50 p.m.