Triple

T16280067
Position Surface form Disambiguated ID Type / Status
Subject Kula E395239 entity
Predicate hasSettlement P1068 FINISHED
Object Kruščić
Kruščić is a village in northern Serbia that forms part of the Kula municipality in the autonomous province of Vojvodina.
E1215965 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: Kruščić | Statement: [Kula, hasSettlement, Kruščić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kruščić
Context triple: [Kula, hasSettlement, Kruščić]
  • A. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • B. Krnjak
    Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
  • C. Vukovica
    Vukovica is the standardized orthography of the Serbo-Croatian language based on the phonemic spelling principles codified by linguist Vuk Karadžić.
  • D. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • 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: Kruščić
Triple: [Kula, hasSettlement, Kruščić]
Generated description
Kruščić is a village in northern Serbia that forms part of the Kula municipality in the autonomous province of Vojvodina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kruščić
Target entity description: Kruščić is a village in northern Serbia that forms part of the Kula municipality in the autonomous province of Vojvodina.
  • A. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • B. Krnjak
    Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
  • C. Vukovica
    Vukovica is the standardized orthography of the Serbo-Croatian language based on the phonemic spelling principles codified by linguist Vuk Karadžić.
  • D. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24611926c81909b276ca3f406f15d completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580b94c88190a3330791e505fd6a completed May 10, 2026, 10:03 a.m.
NEDg Description generation batch_6a005874858881908eb3549cbabdf44b completed May 10, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_6a005917197c8190988b3b1960887b6d completed May 10, 2026, 10:08 a.m.
Created at: April 10, 2026, 5:05 a.m.