Triple

T17911983
Position Surface form Disambiguated ID Type / Status
Subject Superman Family E447836 entity
Predicate primarySetting P14002 FINISHED
Object Metropolis
Metropolis is the iconic, futuristic DC Comics city most famously known as Superman’s home and primary base of operations.
 E199719 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: Metropolis | Statement: [Superman Family, primarySetting, Metropolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metropolis
Context triple: [Superman Family, primarySetting, 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.
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: Metropolis
Triple: [Superman Family, primarySetting, Metropolis]
Generated description
Metropolis is the iconic, futuristic DC Comics city most famously known as Superman’s home and primary base of operations.
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 primary base of operations.
  • 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.

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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea0ea008190b54a999e0704fb67 completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b3213e08190ac036d10b1323704 completed May 12, 2026, 12:21 p.m.
NEDg Description generation batch_6a031bb94ff08190a4e2ad9e61a9c6dc completed May 12, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a031c28c4548190ad876b4d4c799e8d completed May 12, 2026, 12:25 p.m.
Created at: April 10, 2026, 10:19 a.m.