Triple

T12549198
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metropolitan Police Department E300051 entity
Predicate usesAbbreviation P43 FINISHED
Object MPD
MPD is the common abbreviation for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Tokyo, Japan.
 E990349 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: MPD | Statement: [Tokyo Metropolitan Police Department, usesAbbreviation, MPD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MPD
Context triple: [Tokyo Metropolitan Police Department, usesAbbreviation, MPD]
  • A. MPD
    MPD is the primary law enforcement agency responsible for policing Washington, D.C., the capital of the United States.
  • B. MPD
    MPD is the commonly used acronym for the City of Miami Police Department, the primary law enforcement agency serving the city of Miami, Florida.
  • C. MTPD
    MTPD is the law enforcement agency responsible for policing the Washington Metropolitan Area Transit Authority’s transit system, including Metrorail and Metrobus.
  • D. MDA
    MDA is a Canadian space technology company known for developing advanced satellite systems, robotics, and Earth observation solutions.
  • E. MDA
    MDA is the common abbreviation for the Mighty Ducks of Anaheim, a former National Hockey League team based in Anaheim, California.
  • 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: MPD
Triple: [Tokyo Metropolitan Police Department, usesAbbreviation, MPD]
Generated description
MPD is the common abbreviation for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Tokyo, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MPD
Target entity description: MPD is the common abbreviation for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Tokyo, Japan.
  • A. MPD
    MPD is the primary law enforcement agency responsible for policing Washington, D.C., the capital of the United States.
  • B. MPD
    MPD is the commonly used acronym for the City of Miami Police Department, the primary law enforcement agency serving the city of Miami, Florida.
  • C. MTPD
    MTPD is the law enforcement agency responsible for policing the Washington Metropolitan Area Transit Authority’s transit system, including Metrorail and Metrobus.
  • D. MDA
    MDA is a Canadian space technology company known for developing advanced satellite systems, robotics, and Earth observation solutions.
  • E. MDA
    MDA is the common abbreviation for the Mighty Ducks of Anaheim, a former National Hockey League team based in Anaheim, California.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95482c1348190b6f964decef5cc0a completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655853ecc8190b178a489d806a0c4 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656d02afc81909712182034bec255 completed May 2, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69f657ea0c6c8190992a0101904e92f2 completed May 2, 2026, 8 p.m.
Created at: April 8, 2026, 9:58 p.m.