Triple

T18886854
Position Surface form Disambiguated ID Type / Status
Subject Polish Special Forces Command E461978 entity
Predicate abbreviation P43 FINISHED
Object DKWOC
DKWOC is the Polish Special Forces Command, the central authority overseeing Poland’s elite special operations units.
 E1349012 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: DKWOC | Statement: [Polish Special Forces Command, abbreviation, DKWOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DKWOC
Context triple: [Polish Special Forces Command, abbreviation, DKWOC]
  • A. WKD
    WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
  • B. WKO
    WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
  • C. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • D. WCKD
    WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
  • E. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • 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: DKWOC
Triple: [Polish Special Forces Command, abbreviation, DKWOC]
Generated description
DKWOC is the Polish Special Forces Command, the central authority overseeing Poland’s elite special operations units.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DKWOC
Target entity description: DKWOC is the Polish Special Forces Command, the central authority overseeing Poland’s elite special operations units.
  • A. WKD
    WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
  • B. WKO
    WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
  • C. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • D. WCKD
    WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
  • E. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4760d808190b502c4ed1f24424c completed April 20, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582b37de881908475c69461c15c8f completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a05887693d081908fa60534c3c36144 completed May 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a05891f4a248190a5527a939fcb16da completed May 14, 2026, 8:34 a.m.
Created at: April 10, 2026, 11:58 a.m.