Triple

T5335657
Position Surface form Disambiguated ID Type / Status
Subject Sarajevo City Hall E123819 entity
Predicate alternateName P39 FINISHED
Object Vijećnica
Vijećnica is the historic neo-Moorish landmark in Sarajevo that served as the city hall and later as the National and University Library of Bosnia and Herzegovina.
 E512954 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: Vijećnica | Statement: [Sarajevo City Hall, alternateName, Vijećnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vijećnica
Context triple: [Sarajevo City Hall, alternateName, Vijećnica]
  • A. Dušan's Code
    Dušan's Code is a 14th-century Serbian legal codex issued by Emperor Stefan Dušan that systematized medieval Serbian law and governance.
  • B. Sretenje
    Sretenje is a Serbian national holiday commemorating both the country's first constitution and the beginning of its struggle for independence from the Ottoman Empire.
  • C. Dragovishtitsa
    Dragovishtitsa is a smaller river in western Bulgaria that feeds into the Struma River within the Struma River basin.
  • D. Crnica
    Crnica is a river in central Serbia that flows through the city of Paraćin before joining the Velika Morava.
  • E. Paraćin
    Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
  • 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: Vijećnica
Triple: [Sarajevo City Hall, alternateName, Vijećnica]
Generated description
Vijećnica is the historic neo-Moorish landmark in Sarajevo that served as the city hall and later as the National and University Library of Bosnia and Herzegovina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vijećnica
Target entity description: Vijećnica is the historic neo-Moorish landmark in Sarajevo that served as the city hall and later as the National and University Library of Bosnia and Herzegovina.
  • A. Dušan's Code
    Dušan's Code is a 14th-century Serbian legal codex issued by Emperor Stefan Dušan that systematized medieval Serbian law and governance.
  • B. Sretenje
    Sretenje is a Serbian national holiday commemorating both the country's first constitution and the beginning of its struggle for independence from the Ottoman Empire.
  • C. Dragovishtitsa
    Dragovishtitsa is a smaller river in western Bulgaria that feeds into the Struma River within the Struma River basin.
  • D. Crnica
    Crnica is a river in central Serbia that flows through the city of Paraćin before joining the Velika Morava.
  • E. Paraćin
    Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85af799081909ee60bfbb65149ee completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18be4bb88190a2b83e51716e677e completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf194c53a48190b0895bbe9aa2f6f1 completed March 21, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69bf1a198418819089b25102733f9191 completed March 21, 2026, 10:22 p.m.
Created at: March 20, 2026, 2 p.m.