Triple

T15847918
Position Surface form Disambiguated ID Type / Status
Subject Stalin’s skyscrapers E384260 entity
Predicate hasPart P35 FINISHED
Object Hotel Ukraina E382919 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: Hotel Ukraina | Statement: [Stalin’s skyscrapers, hasPart, Hotel Ukraina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel Ukraina
Context triple: [Stalin’s skyscrapers, hasPart, Hotel Ukraina]
  • A. Hotel Ukraina chosen
    Hotel Ukraina is a landmark Stalinist skyscraper in Moscow, renowned as one of the city's historic "Seven Sisters" and now operating as a luxury hotel.
  • B. Hotel Ukraine
    Hotel Ukraine is a prominent historic high-rise hotel overlooking Kyiv’s central Independence Square, known as a landmark of the city’s skyline.
  • C. Oktyabrskaya Hotel
    Oktyabrskaya Hotel is a historic and centrally located hotel in Saint Petersburg, Russia, known for serving travelers near the city's major transport and cultural hubs.
  • D. Hotel Moskva
    Hotel Moskva is a historic and iconic luxury hotel in central Belgrade, renowned for its distinctive Art Nouveau architecture and cultural significance.
  • E. Hotel Evropa
    Hotel Evropa is a historic Art Nouveau hotel and landmark in central Prague, renowned for its ornate façade and cultural significance.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca96c588190922b1f7556dd08cf completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa145f2dc819092db805806b6e1d5 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.