Triple

T14486168
Position Surface form Disambiguated ID Type / Status
Subject Božena Němcová E359232 entity
Predicate residence P75 FINISHED
Object Ratibořice E887919 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: Ratibořice | Statement: [Božena Němcová, residence, Ratibořice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratibořice
Context triple: [Božena Němcová, residence, Ratibořice]
  • A. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • B. Hrabušice
    Hrabušice is a village in eastern Slovakia that serves as a popular gateway for visitors exploring the Slovak Paradise National Park.
  • C. Nebušice
    Nebušice is a residential district on the northwestern edge of Prague, known for its green surroundings and proximity to the international school community.
  • D. Smiřice chosen
    Smiřice is a small town in the Hradec Králové Region of the Czech Republic, known for its historic chateau and Baroque church.
  • E. Poběžovice
    Poběžovice is a small town in the Plzeň Region of the Czech Republic, known for its historical architecture and location near the German border.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90c365481908a8a060cb1908775 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:20 a.m.