Triple

T13100188
Position Surface form Disambiguated ID Type / Status
Subject Kempinski Hotels E310697 entity
Predicate hasNotableProperty P642 FINISHED
Object Hotel Adlon Kempinski Berlin E145350 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 Adlon Kempinski Berlin | Statement: [Kempinski Hotels, hasNotableProperty, Hotel Adlon Kempinski Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel Adlon Kempinski Berlin
Context triple: [Kempinski Hotels, hasNotableProperty, Hotel Adlon Kempinski Berlin]
  • A. Hotel Adlon Kempinski chosen
    Hotel Adlon Kempinski is a historic luxury hotel in central Berlin, renowned for its opulent accommodations and prominent location near the Brandenburg Gate.
  • B. Park Inn Berlin Alexanderplatz
    Park Inn Berlin Alexanderplatz is a high-rise hotel in central Berlin known for its prominent location on Alexanderplatz and panoramic city views.
  • C. Metropole Hotel
    Metropole Hotel is a prominent historic hotel and landmark in the spa town of Llandrindod Wells in Powys, Wales.
  • D. Metropol Hotel
    Metropol Hotel is a historic luxury hotel in central Moscow, renowned for its Art Nouveau architecture and cultural significance.
  • E. Petersberg Hotel
    Petersberg Hotel is a historic grand hotel near Bonn, Germany, best known as a former government guest house and the site of major international conferences and diplomatic agreements.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981515d488190908d3cca1b84a42d completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61bcfe88190866b4330d1669602 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.