Triple

T14148146
Position Surface form Disambiguated ID Type / Status
Subject Castle Hill (Budapest) E350605 entity
Predicate hasPart P35 FINISHED
Object Sándor Palace E162304 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: Sándor Palace | Statement: [Castle Hill (Budapest), hasPart, Sándor Palace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sándor Palace
Context triple: [Castle Hill (Budapest), hasPart, Sándor Palace]
  • A. Sándor Palace chosen
    Sándor Palace is a historic neoclassical building in Budapest that serves as the official residence and workplace of the President of Hungary.
  • B. Rákóczi Palace
    Rákóczi Palace is a historic Renaissance-era noble residence and architectural landmark located in the city of Prešov, Slovakia.
  • C. Andrássy Manor
    Andrássy Manor is a historic aristocratic residence and cultural landmark located in the town of Trebišov in eastern Slovakia.
  • D. Grassalkovich Palace
    Grassalkovich Palace is a historic rococo-style palace in Bratislava that serves as the official presidential residence of Slovakia.
  • E. Vranyczany-Hafner Palace
    Vranyczany-Hafner Palace is a historic 19th-century palace in Zagreb, Croatia, notable for its grand architecture and its role as a prominent cultural and museum venue in the city.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:55 a.m.