Triple

T1901652
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Police Service E37701 entity
Predicate alsoKnownAs P39 FINISHED
Object the Met
The Met is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
 E212129 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: the Met | Statement: [Metropolitan Police Service, alsoKnownAs, the Met]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: the Met
Context triple: [Metropolitan Police Service, alsoKnownAs, the Met]
  • A. New Metropolis
    New Metropolis was the original name of Amsterdam’s futuristic, hands-on science and technology center now known as the NEMO Science Museum.
  • B. Metropolitan
    Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
  • C. Metropolis
    Metropolis is a fictional, futuristic American city in the DC Comics universe, best known as Superman’s primary home and the backdrop for many of his stories.
  • D. Mon Paris
    Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
  • E. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • 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: the Met
Triple: [Metropolitan Police Service, alsoKnownAs, the Met]
Generated description
The Met is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: the Met
Target entity description: The Met is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
  • A. New Metropolis
    New Metropolis was the original name of Amsterdam’s futuristic, hands-on science and technology center now known as the NEMO Science Museum.
  • B. Metropolitan
    Metropolitan is a senior bishop rank in the Eastern Orthodox Church, typically overseeing a large or important diocese or region.
  • C. Metropolis
    Metropolis is a fictional, futuristic American city in the DC Comics universe, best known as Superman’s primary home and the backdrop for many of his stories.
  • D. Mon Paris
    Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
  • E. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb18da27c8190b315b462c857f4c2 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf558148190b920693e2348190f completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adebafc474819092f9e2ec9768cf3f completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec2a928881909a1059ea5d4fc72b completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.