Triple

T18351859
Position Surface form Disambiguated ID Type / Status
Subject Olšany Cemeteries E439684 entity
Predicate locatedIn P40 FINISHED
Object Prague 3 NE NERFINISHED

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: Prague 3 | Statement: [Olšany Cemeteries, locatedIn, Prague 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prague 3
Context triple: [Olšany Cemeteries, locatedIn, Prague 3]
  • A. Prague 3 chosen
    Prague 3 is a central district of Prague known for its historic neighborhoods, including Žižkov, and notable cultural and religious sites such as the New Jewish Cemetery.
  • B. Prague 2
    Prague 2 is a central district of Prague, Czech Republic, known for its historic neighborhoods, parks, and landmarks such as Vyšehrad.
  • C. Prague 17
    Prague 17 is a municipal district of Prague, Czech Republic, located on the western edge of the city and encompassing primarily residential neighborhoods.
  • D. Prague 1
    Prague 1 is the historic central district of Prague, encompassing many of the city’s most famous landmarks, government buildings, and tourist attractions.
  • E. Prague 3 municipal district
    Prague 3 municipal district is a central administrative area of Prague best known for encompassing much of the historic Žižkov neighborhood, with its dense urban fabric, cultural venues, and distinctive local character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f8f07c8190a1506d4a327369d0 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.