Triple

T6318872
Position Surface form Disambiguated ID Type / Status
Subject Voždovac E141684 entity
Predicate contains P35 FINISHED
Object Banjica
Banjica is a residential neighborhood in Belgrade, Serbia, known for its large park-forest and historical significance.
 E149423 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: Banjica | Statement: [Voždovac, contains, Banjica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banjica
Context triple: [Voždovac, contains, Banjica]
  • A. Vršac
    Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
  • B. Trebević
    Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
  • C. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • D. Bunjevac
    Bunjevac is a South Slavic ethnic group whose distinctive dialect and cultural traditions are recognized as a minority language in parts of Serbia and neighboring regions.
  • E. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • 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: Banjica
Triple: [Voždovac, contains, Banjica]
Generated description
Banjica is a residential neighborhood in Belgrade, Serbia, known for its large park-forest and historical significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banjica
Target entity description: Banjica is a residential neighborhood in Belgrade, Serbia, known for its large park-forest and historical significance.
  • A. Vršac
    Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
  • B. Trebević
    Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
  • C. Čukarica chosen
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • D. Bunjevac
    Bunjevac is a South Slavic ethnic group whose distinctive dialect and cultural traditions are recognized as a minority language in parts of Serbia and neighboring regions.
  • E. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • F. None of above.

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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c38fe48190a71a4e5e1af19b10 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040714988190abbbadb4039966ef completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c6056435b481908a63a880b7bcd489 completed March 27, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_69c605f2369c819080fd52282b20437e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:29 p.m.