Triple

T1107385
Position Surface form Disambiguated ID Type / Status
Subject Royal Canadian Mounted Police E25516 entity
Predicate abbreviation P43 FINISHED
Object GRC
GRC is the French-language abbreviation for the Royal Canadian Mounted Police, Canada’s federal and national police service.
 E126608 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: GRC | Statement: [Royal Canadian Mounted Police, abbreviation, GRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GRC
Context triple: [Royal Canadian Mounted Police, abbreviation, GRC]
  • A. GRC
    GRC is the commonly used abbreviation for NASA's Glenn Research Center, a major research facility focused on aeronautics and space technology.
  • B. GRG
    GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • C. RGC
    RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
  • D. GPC
    GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
  • E. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • 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: GRC
Triple: [Royal Canadian Mounted Police, abbreviation, GRC]
Generated description
GRC is the French-language abbreviation for the Royal Canadian Mounted Police, Canada’s federal and national police service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GRC
Target entity description: GRC is the French-language abbreviation for the Royal Canadian Mounted Police, Canada’s federal and national police service.
  • A. GRC
    GRC is the commonly used abbreviation for NASA's Glenn Research Center, a major research facility focused on aeronautics and space technology.
  • B. GRG
    GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • C. RGC
    RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
  • D. GPC
    GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
  • E. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e47e4881908928900df72781f0 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4cee1881909ca8af01f22bb8bb completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4d1d58ac8190b1fc39a28aff8c46 completed March 7, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d90c3dc819092f6be4888851477 completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:43 p.m.