Triple

T16835255
Position Surface form Disambiguated ID Type / Status
Subject Hrabove E409257 entity
Predicate hasNameInLanguage P15 FINISHED
Object Грабове (Ukrainian)
Грабове (Hrabove) is a village in eastern Ukraine’s Donetsk Oblast, internationally known as the crash site of Malaysia Airlines Flight MH17 in 2014.
 E1236474 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: Грабове (Ukrainian) | Statement: [Hrabove, hasNameInLanguage, Грабове (Ukrainian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Грабове (Ukrainian)
Context triple: [Hrabove, hasNameInLanguage, Грабове (Ukrainian)]
  • A. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • B. Ukrainian
    Ukrainian refers to a Slavic ethnic group primarily associated with the nation of Ukraine, known for its distinct language, culture, and historical traditions in Eastern Europe.
  • C. Yuzhnoukrainsk
    Yuzhnoukrainsk is a small industrial city in southern Ukraine known for its nearby nuclear power plant and location on the Southern Bug River.
  • D. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • E. Krapivna
    Krapivna is a historic Russian town that once served as an administrative center in the Tula 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: Грабове (Ukrainian)
Triple: [Hrabove, hasNameInLanguage, Грабове (Ukrainian)]
Generated description
Грабове (Hrabove) is a village in eastern Ukraine’s Donetsk Oblast, internationally known as the crash site of Malaysia Airlines Flight MH17 in 2014.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Грабове (Ukrainian)
Target entity description: Грабове (Hrabove) is a village in eastern Ukraine’s Donetsk Oblast, internationally known as the crash site of Malaysia Airlines Flight MH17 in 2014.
  • A. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • B. Ukrainian
    Ukrainian refers to a Slavic ethnic group primarily associated with the nation of Ukraine, known for its distinct language, culture, and historical traditions in Eastern Europe.
  • C. Yuzhnoukrainsk
    Yuzhnoukrainsk is a small industrial city in southern Ukraine known for its nearby nuclear power plant and location on the Southern Bug River.
  • D. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • E. Krapivna
    Krapivna is a historic Russian town that once served as an administrative center in the Tula 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31aa44c8190b4f402f1898e6998 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb13ec908190853627066fb2c492 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbf6dd488190ad624bb6c35ac086 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc66dbc08190bd569ed2b355c99d completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:23 a.m.