Triple

T17912000
Position Surface form Disambiguated ID Type / Status
Subject Legion of Super-Heroes E447837 entity
Predicate primaryHeadquartersLocation P62 FINISHED
Object Metropolis NE NERFINISHED

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: Metropolis | Statement: [Legion of Super-Heroes, primaryHeadquartersLocation, Metropolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolis
Context triple: [Legion of Super-Heroes, primaryHeadquartersLocation, Metropolis]
  • A. Metropolis
    Metropolis is a major Ethereum protocol upgrade that introduced significant improvements to scalability, security, and usability of the blockchain.
  • B. Metropolis
    Metropolis is a family of modern, high-capacity metro trains developed by Alstom for urban rapid transit systems worldwide.
  • C. Metropolis
    Metropolis is a science fiction television series inspired by Fritz Lang’s classic 1927 film, exploring a futuristic city divided by class and technological power.
  • D. Metropolis
    Metropolis is a major urban area of London that historically fell under the jurisdiction of Peel’s Act, which established the modern professional police force.
  • E. Metropolis
    Metropolis is a surname most notably associated with Nicholas Metropolis, a pioneering physicist and co-developer of the Metropolis algorithm in computational physics and statistics.
  • 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: Metropolis
Target entity description: Metropolis is the iconic futuristic DC Comics city most famously known as Superman’s home and a central hub for many superhero teams and stories.
  • A. Metropolis chosen
    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.
  • B. Metropolis
    Metropolis is a major region in the EVE Online universe, known as a core territory of the Minmatar Republic and a hub of trade and activity.
  • C. Metropolis
    Metropolis is a major urban area of London that historically fell under the jurisdiction of Peel’s Act, which established the modern professional police force.
  • D. Metropolis
    Metropolis is a science fiction television series inspired by Fritz Lang’s classic 1927 film, exploring a futuristic city divided by class and technological power.
  • E. Metropolis
    Metropolis is a family of modern, high-capacity metro trains developed by Alstom for urban rapid transit systems worldwide.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryHeadquartersLocation
Context triple: [Legion of Super-Heroes, primaryHeadquartersLocation, Metropolis]
  • A. headquartersLocation chosen
    Indicates the place where an organization’s main administrative center or principal office is located.
  • B. secondaryHeadquartersLocation
    Indicates the location where an organization maintains a secondary (non-primary) headquarters.
  • C. headquartersLocationOfFoundedOrganization
    Indicates that a location serves as the headquarters of an organization that was founded there.
  • D. headquartersFor
    Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
  • E. employerHeadquarters
    Indicates the location where an employer’s main corporate offices or central administrative operations are based.
  • F. None of above.

Provenance (3 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea0ea008190b54a999e0704fb67 completed April 19, 2026, 9:21 a.m.
PD Predicate disambiguation batch_69e3d8ec2f6881909d7f54b878cbed37 completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 10:19 a.m.