Triple

T3757976
Position Surface form Disambiguated ID Type / Status
Subject The Darkest Hour E82092 entity
Predicate cityOfSetting P48498 FINISHED
Object Moscow E1747 NE FINISHED

How this triple was built (3 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: Moscow | Statement: [The Darkest Hour, cityOfSetting, Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow
Context triple: [The Darkest Hour, cityOfSetting, Moscow]
  • A. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • B. Moscow
    Moscow is a fictional character from the Spanish television series "Money Heist" (La Casa de Papel), known as a kind-hearted, blue-collar miner and the father of Denver who participates in the Royal Mint heist.
  • C. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • D. Elektrostal
    Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
  • E. Sofya
    Sofya is the Russian given name of Sophia Tolstaya, the wife and muse of novelist Leo Tolstoy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityOfSetting
Context triple: [The Darkest Hour, cityOfSetting, Moscow]
  • A. placeOfSetting
    Indicates the location or environment where an event, scene, or situation takes place.
  • B. cityOfFictionalActivity chosen
    Indicates that a fictional activity, event, or storyline takes place in the specified city.
  • C. cityName
    Indicates that the associated value is the name of a city.
  • D. cityOfVenue
    Indicates the city in which a given venue is located.
  • E. settlementCity
    Indicates that a settlement is located within or corresponds to a particular city.
  • F. None of above.

Provenance (4 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc04d348190b0e4a90d18bdd160 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51211a34c8190a3cd8d45e8f7dd87 completed March 14, 2026, 7:45 a.m.
PD Predicate disambiguation batch_69adc04c851c8190ae5eaebf36df539b completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.