Triple

T17136729
Position Surface form Disambiguated ID Type / Status
Subject Hotel Evropa E415856 entity
Predicate name P16 FINISHED
Object Hotel Evropa E415856 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 Evropa | Statement: [Hotel Evropa, name, Hotel Evropa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel Evropa
Context triple: [Hotel Evropa, name, Hotel Evropa]
  • A. Hotel Evropa chosen
    Hotel Evropa is a historic Art Nouveau hotel and landmark in central Prague, renowned for its ornate façade and cultural significance.
  • B. Grand Hotel Europe
    Grand Hotel Europe is a historic luxury hotel in Saint Petersburg, Russia, renowned for its opulent architecture, cultural significance, and long-standing association with the city’s artistic and social life.
  • C. Hotel Granvia
    Hotel Granvia is a chain of upscale, railway-adjacent hotels in Japan known for its convenient locations and operation by the West Japan Railway Company (JR-West).
  • D. Excelsior Hotel Gallia
    Excelsior Hotel Gallia is a historic luxury hotel in Milan, Italy, renowned for its elegant architecture and prime location near the city’s main railway station.
  • E. Metropole Hotel
    Metropole Hotel is a prominent historic hotel and landmark in the spa town of Llandrindod Wells in Powys, Wales.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2cf1c588190986167adcf4851b5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014150d63081908a5614f85694e57a completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.