Triple

T4072753
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian Armed Forces E86685 entity
Predicate abbreviation P43 FINISHED
Object ZSU
ZSU is the commonly used Ukrainian abbreviation for the Armed Forces of Ukraine, the country's unified military organization.
 E410374 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: ZSU | Statement: [Ukrainian Armed Forces, abbreviation, ZSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZSU
Context triple: [Ukrainian Armed Forces, abbreviation, ZSU]
  • A. UZS
    UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
  • B. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • C. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • D. ZUNR
    ZUNR was the Ukrainian-language abbreviation for the West Ukrainian People’s Republic, a short-lived Ukrainian state that existed in Eastern Galicia after World War I.
  • E. CSZ
    CSZ is the ICAO airline designator assigned to Shenzhen Airlines, a major Chinese carrier based in Shenzhen.
  • 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: ZSU
Triple: [Ukrainian Armed Forces, abbreviation, ZSU]
Generated description
ZSU is the commonly used Ukrainian abbreviation for the Armed Forces of Ukraine, the country's unified military organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZSU
Target entity description: ZSU is the commonly used Ukrainian abbreviation for the Armed Forces of Ukraine, the country's unified military organization.
  • A. UZS
    UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
  • B. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • C. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • D. ZUNR
    ZUNR was the Ukrainian-language abbreviation for the West Ukrainian People’s Republic, a short-lived Ukrainian state that existed in Eastern Galicia after World War I.
  • E. CSZ
    CSZ is the ICAO airline designator assigned to Shenzhen Airlines, a major Chinese carrier based in Shenzhen.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc22be988190a2b6575d4f5e0f7b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b99e84819085e1616fb9a61465 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563ced83c81908d7eff6a54b3b66c completed March 14, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69b564893f44819086ffe89101217f53 completed March 14, 2026, 1:37 p.m.
Created at: March 9, 2026, 3:38 p.m.