Triple

T8049473
Position Surface form Disambiguated ID Type / Status
Subject Royal Canadian Electrical and Mechanical Engineers E187637 entity
Predicate abbreviation P43 FINISHED
Object RCEME
RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
E706524 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: RCEME | Statement: [Royal Canadian Electrical and Mechanical Engineers, abbreviation, RCEME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCEME
Context triple: [Royal Canadian Electrical and Mechanical Engineers, abbreviation, RCEME]
  • A. MCECS
    MCECS is the Maseeh College of Engineering and Computer Science, an engineering and computing-focused academic college at Portland State University.
  • B. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • C. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • D. CICTE
    CICTE is the Inter-American Committee against Terrorism, a specialized body of the Organization of American States focused on coordinating and strengthening regional efforts to prevent and combat terrorism in the Americas.
  • E. CEMA
    CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
  • 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: RCEME
Triple: [Royal Canadian Electrical and Mechanical Engineers, abbreviation, RCEME]
Generated description
RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RCEME
Target entity description: RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
  • A. MCECS
    MCECS is the Maseeh College of Engineering and Computer Science, an engineering and computing-focused academic college at Portland State University.
  • B. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • C. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • D. CICTE
    CICTE is the Inter-American Committee against Terrorism, a specialized body of the Organization of American States focused on coordinating and strengthening regional efforts to prevent and combat terrorism in the Americas.
  • E. CEMA
    CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7826288190b2f292a7d34fcd80 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5716934481908ec60cc9fd825ad7 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58acba3c8190b7d09aa23b5f10f8 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5ccee5648190a8ebdf8029eded98 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:24 p.m.