Triple

T17090644
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian Air Assault Forces E414715 entity
Predicate shortName P43 FINISHED
Object ДШВ
ДШВ is the Ukrainian Air Assault Forces, an elite branch of Ukraine’s Armed Forces specializing in rapid deployment, airborne and air assault operations.
 E1250014 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: ДШВ | Statement: [Ukrainian Air Assault Forces, shortName, ДШВ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ДШВ
Context triple: [Ukrainian Air Assault Forces, shortName, ДШВ]
  • A. DSH
    DSH is the acronym for the California Department of State Hospitals, the state agency that oversees and operates California’s public psychiatric hospitals.
  • B. ДС
    ДС е съкращение за Държавна сигурност – бившата тайна служба и политическа полиция на Народна република България, отговаряща за вътрешното разузнаване, контраразузнаването и репресиите срещу опозицията.
  • C. DŞ
    DŞ is the common abbreviation for Darüşşafaka S.K., a prominent Turkish professional basketball club based in Istanbul.
  • D. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • E. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • 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: ДШВ
Triple: [Ukrainian Air Assault Forces, shortName, ДШВ]
Generated description
ДШВ is the Ukrainian Air Assault Forces, an elite branch of Ukraine’s Armed Forces specializing in rapid deployment, airborne and air assault operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ДШВ
Target entity description: ДШВ is the Ukrainian Air Assault Forces, an elite branch of Ukraine’s Armed Forces specializing in rapid deployment, airborne and air assault operations.
  • A. DSH
    DSH is the acronym for the California Department of State Hospitals, the state agency that oversees and operates California’s public psychiatric hospitals.
  • B. ДС
    ДС е съкращение за Държавна сигурност – бившата тайна служба и политическа полиция на Народна република България, отговаряща за вътрешното разузнаване, контраразузнаването и репресиите срещу опозицията.
  • C. DŞ
    DŞ is the common abbreviation for Darüşşafaka S.K., a prominent Turkish professional basketball club based in Istanbul.
  • D. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • E. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbf948d88190a4dd4a0774a8505b completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee9fd108190b12e8624bb66caf2 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c5f7388190b10a62ed1b61cce0 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:35 a.m.