Triple

T14318990
Position Surface form Disambiguated ID Type / Status
Subject Western Special Military District E355030 entity
Predicate hasAbbreviation P43 FINISHED
Object ZapOVO
ZapOVO is the Russian abbreviation for the Western Special Military District, a major regional command within Russia’s armed forces.
 E1093297 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: ZapOVO | Statement: [Western Special Military District, hasAbbreviation, ZapOVO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZapOVO
Context triple: [Western Special Military District, hasAbbreviation, ZapOVO]
  • A. OZP
    OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
  • B. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • C. ZAP
    ZAP is an open-source web application security testing tool developed by OWASP, widely used for finding vulnerabilities in web applications.
  • D. Zaps
    Zaps are Zapier’s automated workflows that connect different apps to perform tasks and data transfers without manual intervention.
  • E. ZOC
    ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
  • 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: ZapOVO
Triple: [Western Special Military District, hasAbbreviation, ZapOVO]
Generated description
ZapOVO is the Russian abbreviation for the Western Special Military District, a major regional command within Russia’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZapOVO
Target entity description: ZapOVO is the Russian abbreviation for the Western Special Military District, a major regional command within Russia’s armed forces.
  • A. OZP
    OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
  • B. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • C. ZAP
    ZAP is an open-source web application security testing tool developed by OWASP, widely used for finding vulnerabilities in web applications.
  • D. Zaps
    Zaps are Zapier’s automated workflows that connect different apps to perform tasks and data transfers without manual intervention.
  • E. ZOC
    ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883a93548190ac671b001d15d0bd completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd468c4a7c8190951adb28e1d71365 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd478e6644819080692fbca8ec6c80 completed May 8, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fd4851528c81909855c0f8484c278e completed May 8, 2026, 2:20 a.m.
Created at: April 10, 2026, 1:13 a.m.