Triple

T7211915
Position Surface form Disambiguated ID Type / Status
Subject Čukarica E149423 entity
Predicate contains P35 FINISHED
Object Rušanj
Rušanj is a suburban settlement of Belgrade, Serbia, located within the municipality of Čukarica.
 E648969 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: Rušanj | Statement: [Čukarica, contains, Rušanj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rušanj
Context triple: [Čukarica, contains, Rušanj]
  • A. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • D. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • E. Русины
    Русины — это восточнославянский народ, исторически проживающий в Карпатском регионе (Закарпатье, восточная Словакия, юго-восточная Польша и прилегающие территории), со своим особым языком и культурой.
  • 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: Rušanj
Triple: [Čukarica, contains, Rušanj]
Generated description
Rušanj is a suburban settlement of Belgrade, Serbia, located within the municipality of Čukarica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rušanj
Target entity description: Rušanj is a suburban settlement of Belgrade, Serbia, located within the municipality of Čukarica.
  • A. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • D. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • E. Русины
    Русины — это восточнославянский народ, исторически проживающий в Карпатском регионе (Закарпатье, восточная Словакия, юго-восточная Польша и прилегающие территории), со своим особым языком и культурой.
  • 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_69c7bfcec3448190ab29c3742aa167ae completed March 28, 2026, 11:47 a.m.
NEDg Description generation batch_69c7c05a1f548190914a9b2ba98cbef2 completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c0e6b508819093092e3516a9ec46 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:53 p.m.