Triple

T1680121
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian Cossack songs of Dnipropetrovsk region E36318 entity
Predicate performedBy P1363 FINISHED
Object kobzars
Kobzars were traditional Ukrainian itinerant bards, often blind, who sang epic and historical songs to the accompaniment of instruments like the kobza or bandura.
 E190001 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: kobzars | Statement: [Ukrainian Cossack songs of Dnipropetrovsk region, performedBy, kobzars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: kobzars
Context triple: [Ukrainian Cossack songs of Dnipropetrovsk region, performedBy, kobzars]
  • A. Biberist
    Biberist is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the cantonal capital.
  • B. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • C. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • D. Seraiki
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • E. Kagizman
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • 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: kobzars
Triple: [Ukrainian Cossack songs of Dnipropetrovsk region, performedBy, kobzars]
Generated description
Kobzars were traditional Ukrainian itinerant bards, often blind, who sang epic and historical songs to the accompaniment of instruments like the kobza or bandura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: kobzars
Target entity description: Kobzars were traditional Ukrainian itinerant bards, often blind, who sang epic and historical songs to the accompaniment of instruments like the kobza or bandura.
  • A. Biberist
    Biberist is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the cantonal capital.
  • B. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • C. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • D. Seraiki
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • E. Kagizman
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa626208088190be60eae294cea294 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bce0d48190ba3762fabd0bcdd6 completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad724651e08190a77519ad21c64b23 completed March 8, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69ad72c405b081909bff8bf621e9baec completed March 8, 2026, 12:59 p.m.
Created at: March 4, 2026, 7:29 p.m.