Triple

T18300714
Position Surface form Disambiguated ID Type / Status
Subject MPE (Multi-Agent Particle Environments) E438350 entity
Predicate acronym P43 FINISHED
Object MPE NE NERFINISHED

How this triple was built (3 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: [MPE (Multi-Agent Particle Environments), acronym, MPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPE
Context triple: [MPE (Multi-Agent Particle Environments), acronym, MPE]
  • A. 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.
  • B. 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.
  • C. MMEP
    MMEP is the ICAO airport code for Tepic International Airport in Tepic, Nayarit, Mexico.
  • D. 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.
  • E. MPS
    MPS is a language workbench and integrated development environment by JetBrains designed for creating and working with domain-specific languages using projectional editing.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MPE
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. MMEP
    MMEP is the ICAO airport code for Tepic International Airport in Tepic, Nayarit, Mexico.
  • D. 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.
  • E. MPS
    MPS is the central government agency responsible for public security, policing, and domestic law enforcement in the People's Republic of China.
  • F. None of above. chosen

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.