Triple

T1163711
Position Surface form Disambiguated ID Type / Status
Subject Belgrade E24551 entity
Predicate hasMunicipality P847 FINISHED
Object Voždovac
Voždovac is a municipality of Belgrade, Serbia, known for its mix of urban neighborhoods, residential areas, and important transport routes.
E141684 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: Voždovac | Statement: [Belgrade, hasMunicipality, Voždovac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voždovac
Context triple: [Belgrade, hasMunicipality, Voždovac]
  • A. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • B. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • C. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • 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. Peć
    Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
  • 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: Voždovac
Triple: [Belgrade, hasMunicipality, Voždovac]
Generated description
Voždovac is a municipality of Belgrade, Serbia, known for its mix of urban neighborhoods, residential areas, and important transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Voždovac
Target entity description: Voždovac is a municipality of Belgrade, Serbia, known for its mix of urban neighborhoods, residential areas, and important transport routes.
  • A. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • B. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • C. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • 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. Peć
    Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
  • 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_69ac8f6b70d081909c6d6f9c790f6bd6 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac8fd90ea88190b154bb7d72768dae completed March 7, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac90412d3881909278a9a6c6536ce3 completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:45 p.m.