Triple

T4033347
Position Surface form Disambiguated ID Type / Status
Subject Malaysia Airlines Flight 17 E83765 entity
Predicate crashSiteNear P26084 FINISHED
Object Torez
Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
 E409258 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: Torez | Statement: [Malaysia Airlines Flight 17, crashSiteNear, Torez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torez
Context triple: [Malaysia Airlines Flight 17, crashSiteNear, Torez]
  • A. Tore
    Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
  • B. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • C. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • D. Turek
    Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
  • E. Tagliabue
    Tagliabue is an Italian-origin surname most prominently associated with Paul Tagliabue, the former commissioner of the National Football League (NFL).
  • 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: Torez
Triple: [Malaysia Airlines Flight 17, crashSiteNear, Torez]
Generated description
Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torez
Target entity description: Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
  • A. Tore
    Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
  • B. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • C. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • D. Turek
    Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
  • E. Tagliabue
    Tagliabue is an Italian-origin surname most prominently associated with Paul Tagliabue, the former commissioner of the National Football League (NFL).
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01994b0c8190b34af36acadad5c6 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563e11708190abc9ba55b1be43a5 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a291d8c8190976e764011692ba0 completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a9ec7e88190bc5d165fd666f4b3 completed March 14, 2026, 12:54 p.m.
Created at: March 9, 2026, 3:36 p.m.