Triple

T4953653
Position Surface form Disambiguated ID Type / Status
Subject Herbrechtingen E111227 entity
Predicate hasTwinTown P919 FINISHED
Object Karavukovo, Serbia
Karavukovo is a village in the Vojvodina region of northern Serbia, known as a small rural community within the Odžaci municipality.
 E483363 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: Karavukovo, Serbia | Statement: [Herbrechtingen, hasTwinTown, Karavukovo, Serbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karavukovo, Serbia
Context triple: [Herbrechtingen, hasTwinTown, Karavukovo, Serbia]
  • A. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • B. Kratovo
    Kratovo is a historic town in northeastern North Macedonia, known for its well-preserved Ottoman-era stone bridges and towers set in a volcanic crater landscape.
  • C. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • D. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • E. Karašica
    Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • 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: Karavukovo, Serbia
Triple: [Herbrechtingen, hasTwinTown, Karavukovo, Serbia]
Generated description
Karavukovo is a village in the Vojvodina region of northern Serbia, known as a small rural community within the Odžaci municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karavukovo, Serbia
Target entity description: Karavukovo is a village in the Vojvodina region of northern Serbia, known as a small rural community within the Odžaci municipality.
  • A. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • B. Kratovo
    Kratovo is a historic town in northeastern North Macedonia, known for its well-preserved Ottoman-era stone bridges and towers set in a volcanic crater landscape.
  • C. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • D. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • E. Karašica
    Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b82dd88190adfb08c3b3191fe0 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d773bc8190861be7ad83de6c2a completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be82dcc280819098eac824370b1af0 completed March 21, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69be8349507481908643591de7f03f42 completed March 21, 2026, 11:38 a.m.
Created at: March 20, 2026, 1:31 p.m.