Triple

T22237467
Position Surface form Disambiguated ID Type / Status
Subject Canadian North E549628 entity
Predicate ICAOCode P419 FINISHED
Object MPE
MPE is the ICAO airline designator used to identify Canadian North in international aviation operations.
 E1526078 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: MPE | Statement: [Canadian North, ICAOCode, MPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MPE
Context triple: [Canadian North, ICAOCode, MPE]
  • A. MPE
    MPE (Multi-Agent Particle Environments) is a lightweight simulation framework commonly used in multi-agent reinforcement learning research to study coordination, competition, and communication among simple particle-based agents.
  • B. MPEA
    MPEA is the commonly used abbreviation for the Metropolitan Pier and Exposition Authority, the public agency that owns and operates Chicago’s McCormick Place convention center and Navy Pier.
  • C. MPEW
    MPEW is a major six-lane, access-controlled expressway in Maharashtra, India, connecting the cities of Mumbai and Pune and serving as a key high-speed transport corridor.
  • D. MMEP
    MMEP is the ICAO airport code for Tepic International Airport in Tepic, Nayarit, Mexico.
  • E. MEPZ
    MEPZ is an industrial and export processing complex located on Mactan Island in the Philippines that hosts numerous manufacturing and electronics companies focused on export production.
  • 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: MPE
Triple: [Canadian North, ICAOCode, MPE]
Generated description
MPE is the ICAO airline designator used to identify Canadian North in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MPE
Target entity description: MPE is the ICAO airline designator used to identify Canadian North in international aviation operations.
  • A. MPE
    MPE (Multi-Agent Particle Environments) is a lightweight simulation framework commonly used in multi-agent reinforcement learning research to study coordination, competition, and communication among simple particle-based agents.
  • B. MPEA
    MPEA is the commonly used abbreviation for the Metropolitan Pier and Exposition Authority, the public agency that owns and operates Chicago’s McCormick Place convention center and Navy Pier.
  • C. MPEW
    MPEW is a major six-lane, access-controlled expressway in Maharashtra, India, connecting the cities of Mumbai and Pune and serving as a key high-speed transport corridor.
  • D. MMEP
    MMEP is the ICAO airport code for Tepic International Airport in Tepic, Nayarit, Mexico.
  • E. MEPZ
    MEPZ is an industrial and export processing complex located on Mactan Island in the Philippines that hosts numerous manufacturing and electronics companies focused on export production.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13210eb9c8190bc40d06c393e0d9a completed April 28, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae7d32608190bb3d07e7bacc46ac completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0aaf758ab08190b31a3e6d9db60f68 completed May 18, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab0474af48190b349b3c0595e921a completed May 18, 2026, 6:23 a.m.
Created at: April 16, 2026, 8:38 p.m.