Triple

T20442105
Position Surface form Disambiguated ID Type / Status
Subject Academy of Fine Arts in Prague E501420 entity
Predicate locatedIn P40 FINISHED
Object Prague 7 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 7 | Statement: [Academy of Fine Arts in Prague, locatedIn, Prague 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prague 7
Context triple: [Academy of Fine Arts in Prague, locatedIn, Prague 7]
  • A. Prague 7 chosen
    Prague 7 is a municipal district of Prague, Czech Republic, known for its residential neighborhoods, parks, and cultural institutions along the Vltava River.
  • B. Prague 8
    Prague 8 is a municipal district of Prague that includes a mix of historic neighborhoods and modern residential and commercial areas along the northeastern part of the city.
  • C. Prague 4
    Prague 4 is a large administrative district in the southern part of Prague, Czech Republic, combining residential neighborhoods, business areas, and significant transport routes.
  • D. Prague 6
    Prague 6 is a large municipal district of Prague, Czech Republic, known for its residential neighborhoods, diplomatic quarter, and proximity to Prague Castle and the airport.
  • E. Prague 5
    Prague 5 is a large municipal district of Prague known for its mix of residential neighborhoods, commercial areas, and green spaces on the western side of the city.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f3b794819080745b135a305ba7 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:32 a.m.