Triple

T10526088
Position Surface form Disambiguated ID Type / Status
Subject Lana Lang E248308 entity
Predicate associatedWithPlace P2830 FINISHED
Object Metropolis E199719 NE FINISHED

How this triple was built (2 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: [Lana Lang, associatedWithPlace, Metropolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolis
Context triple: [Lana Lang, associatedWithPlace, 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 landmark 1927 German expressionist science-fiction film directed by Fritz Lang, renowned for its pioneering special effects and dystopian vision of a futuristic urban society.
  • C. 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.
  • D. Metropolis I
    Metropolis I is the debut studio album by American progressive metal band Dream Theater, originally released in 1989 under the title "When Dream and Day Unite."
  • E. Metropolis II
    Metropolis II is a large-scale kinetic sculpture by artist Chris Burden that features hundreds of miniature cars racing through an intricate, futuristic cityscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e26c4908190b77d73c11bee6119 completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.