Triple

T7211910
Position Surface form Disambiguated ID Type / Status
Subject Čukarica E149423 entity
Predicate contains P35 FINISHED
Object Sremčica
Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
 E652626 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: Sremčica | Statement: [Čukarica, contains, Sremčica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sremčica
Context triple: [Čukarica, contains, Sremčica]
  • A. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • B. Konjšica
    Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
  • C. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • D. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • E. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • 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: Sremčica
Triple: [Čukarica, contains, Sremčica]
Generated description
Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sremčica
Target entity description: Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
  • A. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • B. Konjšica
    Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
  • C. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • D. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • E. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96f99088190a085476bcfca26fd completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d381a7288190bbfdb8f1de6b5f05 completed March 28, 2026, 1:11 p.m.
NEDg Description generation batch_69c7d4069d8c8190bf6810f6e97b111a completed March 28, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69c7d46b7fcc819082d37f00f541e2cd completed March 28, 2026, 1:15 p.m.
Created at: March 27, 2026, 2:53 p.m.