Triple

T5328931
Position Surface form Disambiguated ID Type / Status
Subject Satu Mare E123254 entity
Predicate hasTwinTown P919 FINISHED
Object Berehove
Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
 E513212 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: Berehove | Statement: [Satu Mare, hasTwinTown, Berehove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berehove
Context triple: [Satu Mare, hasTwinTown, Berehove]
  • A. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • B. Vyshhorod
    Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
  • C. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • D. Pavlohrad
    Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
  • E. Rivne
    Rivne is a city in western Ukraine that serves as an important regional administrative, economic, and cultural center.
  • 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: Berehove
Triple: [Satu Mare, hasTwinTown, Berehove]
Generated description
Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berehove
Target entity description: Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
  • A. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • B. Vyshhorod
    Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
  • C. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • D. Pavlohrad
    Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
  • E. Rivne
    Rivne is a city in western Ukraine that serves as an important regional administrative, economic, and cultural center.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8593bd6c8190b2054e548ddf2458 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21bebea0819083e6deae67f3e834 completed March 21, 2026, 10:54 p.m.
NEDg Description generation batch_69bf225712c081909eb750730ba03179 completed March 21, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69bf22a7e7388190827b59286f3d7e96 completed March 21, 2026, 10:58 p.m.
Created at: March 20, 2026, 2 p.m.