Triple

T1163715
Position Surface form Disambiguated ID Type / Status
Subject Belgrade E24551 entity
Predicate hasMunicipality P847 FINISHED
Object Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
E149941 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: Lazarevac | Statement: [Belgrade, hasMunicipality, Lazarevac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazarevac
Context triple: [Belgrade, hasMunicipality, Lazarevac]
  • A. Rakovica
    Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
  • B. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • C. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • D. Petrovichi
    Petrovichi is a small rural locality in present-day Smolensk Oblast, Russia, best known as the birthplace of science fiction writer Isaac Asimov.
  • E. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • 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: Lazarevac
Triple: [Belgrade, hasMunicipality, Lazarevac]
Generated description
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lazarevac
Target entity description: Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • A. Rakovica
    Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
  • B. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • C. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • D. Petrovichi
    Petrovichi is a small rural locality in present-day Smolensk Oblast, Russia, best known as the birthplace of science fiction writer Isaac Asimov.
  • E. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcc9dc5081908e225a485186ab12 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbadb9758819097fd03d59ad95367 completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbb7f877081909fad30dac9254a34 completed March 7, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_69acbbdbab04819087b42477acbbb5f4 completed March 7, 2026, 11:59 p.m.
Created at: March 1, 2026, 7:45 p.m.