Triple

T20092595
Position Surface form Disambiguated ID Type / Status
Subject Данило Романович E496309 entity
Predicate coronationPlace P128 FINISHED
Object Дорогичин
Дорогичин — это древний город на территории современной Польши, известный как важный политический и торговый центр средневековой Руси и место коронации князя Данила Романовича.
E1415583 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: Дорогичин | Statement: [Данило Романович, coronationPlace, Дорогичин]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Дорогичин
Context triple: [Данило Романович, coronationPlace, Дорогичин]
  • A. Krajišnik
    Krajišnik is a village located within the Temerin municipality in the Vojvodina region of northern Serbia.
  • B. Dražan
    Dražan is a masculine given name most notably borne by Croatian footballer and manager Dražan Jerković.
  • C. Nedelino
    Nedelino is a small town and municipality in southern Bulgaria known for its Rhodope Mountain setting and traditional folklore.
  • D. Glogovac
    Glogovac is a town and municipality in central Kosovo, known for its predominantly Albanian population and role in the region's recent history.
  • E. Glogovac
    Glogovac is a village-level settlement located within the Municipality of Bogatić in Serbia.
  • 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: Дорогичин
Triple: [Данило Романович, coronationPlace, Дорогичин]
Generated description
Дорогичин — это древний город на территории современной Польши, известный как важный политический и торговый центр средневековой Руси и место коронации князя Данила Романовича.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Дорогичин
Target entity description: Дорогичин — это древний город на территории современной Польши, известный как важный политический и торговый центр средневековой Руси и место коронации князя Данила Романовича.
  • A. Krajišnik
    Krajišnik is a village located within the Temerin municipality in the Vojvodina region of northern Serbia.
  • B. Dražan
    Dražan is a masculine given name most notably borne by Croatian footballer and manager Dražan Jerković.
  • C. Nedelino
    Nedelino is a small town and municipality in southern Bulgaria known for its Rhodope Mountain setting and traditional folklore.
  • D. Glogovac
    Glogovac is a town and municipality in central Kosovo, known for its predominantly Albanian population and role in the region's recent history.
  • E. Glogovac
    Glogovac is a village-level settlement located within the Municipality of Bogatić in Serbia.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66668db8881908c43b1deef9af1d3 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08345fa2688190a25f359fc500c0c5 completed May 16, 2026, 9:09 a.m.
NEDg Description generation batch_6a08387068e48190b04a2704296e697e completed May 16, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_6a083a11f4388190ba002c1cea24789a completed May 16, 2026, 9:34 a.m.
Created at: April 11, 2026, 11:22 p.m.