Triple

T20229461
Position Surface form Disambiguated ID Type / Status
Subject Orikhiv sector E495476 entity
Predicate hasKeyTown P106675 FINISHED
Object Orikhiv
Orikhiv is a frontline town in Ukraine’s Zaporizhzhia region that has become strategically important in the Russo-Ukrainian war.
E1437688 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: Orikhiv | Statement: [Orikhiv sector, hasKeyTown, Orikhiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orikhiv
Context triple: [Orikhiv sector, hasKeyTown, Orikhiv]
  • A. Myrhorod
    Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
  • B. Khmilnyk
    Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
  • C. Korsun-Shevchenkivskyi
    Korsun-Shevchenkivskyi is a town in central Ukraine known as the site of a major World War II battle during the Korsun–Shevchenkivsky Offensive.
  • D. Vinogradiv
    Vinogradiv is a town in western Ukraine’s Zakarpattia Oblast, near the Hungarian and Romanian borders, known for its multicultural heritage and historical architecture.
  • E. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn 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: Orikhiv
Triple: [Orikhiv sector, hasKeyTown, Orikhiv]
Generated description
Orikhiv is a frontline town in Ukraine’s Zaporizhzhia region that has become strategically important in the Russo-Ukrainian war.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orikhiv
Target entity description: Orikhiv is a frontline town in Ukraine’s Zaporizhzhia region that has become strategically important in the Russo-Ukrainian war.
  • A. Myrhorod
    Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
  • B. Khmilnyk
    Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
  • C. Korsun-Shevchenkivskyi
    Korsun-Shevchenkivskyi is a town in central Ukraine known as the site of a major World War II battle during the Korsun–Shevchenkivsky Offensive.
  • D. Vinogradiv
    Vinogradiv is a town in western Ukraine’s Zakarpattia Oblast, near the Hungarian and Romanian borders, known for its multicultural heritage and historical architecture.
  • E. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fdc2590819089a946d16c6c0e59 completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a54cefe08190a3b7eb2bada9adad completed May 16, 2026, 5:11 p.m.
NEDg Description generation batch_6a08a630ab70819082eeb53aa80bc7fd completed May 16, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a08a6aad1bc8190a3c470c34d4434f6 completed May 16, 2026, 5:17 p.m.
Created at: April 11, 2026, 11:39 p.m.