Triple

T16232179
Position Surface form Disambiguated ID Type / Status
Subject Nusle Valley E394009 entity
Predicate near P350 FINISHED
Object Pankrác
Pankrác is a district in Prague, Czech Republic, known for its high-rise buildings, major commercial centers, and the historic Pankrác Prison.
 E1200647 NE FINISHED

How this triple was built (4 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: Pankrác | Statement: [Nusle Valley, near, Pankrác]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pankrác
Context triple: [Nusle Valley, near, Pankrác]
  • A. Batiatus
    Batiatus is a cunning and ambitious Roman lanista and gladiator school owner in the television series "Spartacus: Blood and Sand."
  • B. Kämpfert
    Kämpfert is the surname of Bert Kaempfert, a German orchestra leader, composer, and arranger known for his easy listening and jazz-influenced pop music.
  • C. Pankiewicz
    Pankiewicz is a Polish surname most notably associated with Tadeusz Pankiewicz, the pharmacist who ran the “Under the Eagle” pharmacy in the Kraków Ghetto during World War II.
  • D. Cerdan
    Cerdan is a French surname most famously associated with Marcel Cerdan, the celebrated mid-20th-century world champion boxer.
  • E. Domantis
    Domantis is a biotechnology company based in the Cambridge life sciences cluster, known for developing next-generation antibody-based therapeutics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pankrác
Triple: [Nusle Valley, near, Pankrác]
Generated description
Pankrác is a district in Prague, Czech Republic, known for its high-rise buildings, major commercial centers, and the historic Pankrác Prison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pankrác
Target entity description: Pankrác is a district in Prague, Czech Republic, known for its high-rise buildings, major commercial centers, and the historic Pankrác Prison.
  • A. Batiatus
    Batiatus is a cunning and ambitious Roman lanista and gladiator school owner in the television series "Spartacus: Blood and Sand."
  • B. Kämpfert
    Kämpfert is the surname of Bert Kaempfert, a German orchestra leader, composer, and arranger known for his easy listening and jazz-influenced pop music.
  • C. Pankiewicz
    Pankiewicz is a Polish surname most notably associated with Tadeusz Pankiewicz, the pharmacist who ran the “Under the Eagle” pharmacy in the Kraków Ghetto during World War II.
  • D. Cerdan
    Cerdan is a French surname most famously associated with Marcel Cerdan, the celebrated mid-20th-century world champion boxer.
  • E. Domantis
    Domantis is a biotechnology company based in the Cambridge life sciences cluster, known for developing next-generation antibody-based therapeutics.
  • F. None of above. chosen

Provenance (5 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2b0cc48190853919135d5a172a completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00098ea3e48190b0744f1eafab9ce2 completed May 10, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0009fb40a48190b82f6de80226d306 completed May 10, 2026, 4:30 a.m.
Created at: April 10, 2026, 5:04 a.m.