Triple

T9045519
Position Surface form Disambiguated ID Type / Status
Subject Hotel Ukraina E216745 entity
Predicate originalName P65 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: [Hotel Ukraina, originalName, Hotel Ukraina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel Ukraina
Context triple: [Hotel Ukraina, originalName, 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. Hotel Moskva
    Hotel Moskva is a historic and iconic luxury hotel in central Belgrade, renowned for its distinctive Art Nouveau architecture and cultural significance.
  • D. Hotel Evropa
    Hotel Evropa is a historic Art Nouveau hotel and landmark in central Prague, renowned for its ornate façade and cultural significance.
  • E. Hotel Yugoslavia
    Hotel Yugoslavia is a historic modernist hotel complex in Belgrade, Serbia, known as one of the city’s most prominent landmarks from the Yugoslav era.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebada5948190add8813ba547647f completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.