Triple

T3846364
Position Surface form Disambiguated ID Type / Status
Subject Vyšehrad Cemetery E93578 entity
Predicate locatedIn P40 FINISHED
Object Vyšehrad E93578 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: Vyšehrad | Statement: [Vyšehrad Cemetery, locatedIn, Vyšehrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyšehrad
Context triple: [Vyšehrad Cemetery, locatedIn, Vyšehrad]
  • A. Vyšehrad chosen
    Vyšehrad is a historic fortified castle complex in Prague known for its ancient ramparts, cemetery of notable Czechs, and panoramic views over the Vltava River.
  • B. Malá Strana
    Malá Strana is a historic district of Prague known for its baroque architecture, narrow streets, and location beneath Prague Castle along the Vltava River.
  • C. Prague Castle
    Prague Castle is a historic fortress complex in Prague that served as the seat of Bohemian kings and Holy Roman Emperors and is now the official residence of the Czech president.
  • D. Hradčany
    Hradčany is the historic castle district of Prague, known for encompassing Prague Castle and many of the city's most important cultural and political landmarks.
  • E. Republic Square
    Republic Square is a central public square in the Portuguese town of Tavira, known for its historic buildings, cafes, and role as a main social and cultural gathering place.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb77a488190be7fc2a1211f1f2d completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337284608190af9c288033d5ce23 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:18 p.m.