Triple

T13384172
Position Surface form Disambiguated ID Type / Status
Subject Lego Batman E319394 entity
Predicate usesSetting P3538 FINISHED
Object Gotham City E127940 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: Gotham City | Statement: [Lego Batman, usesSetting, Gotham City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gotham City
Context triple: [Lego Batman, usesSetting, Gotham City]
  • A. Gotham City chosen
    Gotham City is the dark, crime-ridden fictional metropolis that serves as Batman’s primary setting and symbolizes urban corruption and decay in the DC Comics universe.
  • B. Metropolis (DC Comics city)
    Metropolis (DC Comics city) is the iconic, futuristic urban setting in DC Comics best known as Superman’s primary home and a symbol of hope and modernity in the DC Universe.
  • C. Star City
    Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
  • D. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • E. Star City
    Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.