Triple

T23010024
Position Surface form Disambiguated ID Type / Status
Subject Toronto Police Service E572881 entity
Predicate hasAbbreviation P43 FINISHED
Object TPS
TPS is the municipal police force responsible for law enforcement and public safety in the city of Toronto, Ontario, Canada.
 E1566730 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: TPS | Statement: [Toronto Police Service, hasAbbreviation, TPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TPS
Context triple: [Toronto Police Service, hasAbbreviation, TPS]
  • A. TPS
    TPS is a U.S. immigration designation that allows nationals of certain countries facing conflict or disaster to live and work temporarily in the United States.
  • B. TPS
    TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
  • C. TPS
    TPS is a Finnish sports club from Turku best known for its professional ice hockey and football teams.
  • D. TPS
    TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
  • E. 7TP
    The 7TP was a Polish light tank of the 1930s, notable for its improved armor, armament, and diesel engine compared to contemporary designs, and used during the early stages of World War II.
  • 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: TPS
Triple: [Toronto Police Service, hasAbbreviation, TPS]
Generated description
TPS is the municipal police force responsible for law enforcement and public safety in the city of Toronto, Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TPS
Target entity description: TPS is the municipal police force responsible for law enforcement and public safety in the city of Toronto, Ontario, Canada.
  • A. TPS
    TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
  • B. TPS
    TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
  • C. TPS
    TPS is a U.S. immigration designation that allows nationals of certain countries facing conflict or disaster to live and work temporarily in the United States.
  • D. TPS
    TPS is a Finnish sports club from Turku best known for its professional ice hockey and football teams.
  • E. 7TP
    The 7TP was a Polish light tank of the 1930s, notable for its improved armor, armament, and diesel engine compared to contemporary designs, and used during the early stages of World War II.
  • 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.