Triple

T3897355
Position Surface form Disambiguated ID Type / Status
Subject Polish defense industry E90401 entity
Predicate hasKeyActor P30416 FINISHED
Object WZL-2
WZL-2 is a major Polish aerospace and defense company specializing in the maintenance, repair, and modernization of military aircraft and related systems.
 E398124 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: WZL-2 | Statement: [Polish defense industry, hasKeyActor, WZL-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WZL-2
Context triple: [Polish defense industry, hasKeyActor, WZL-2]
  • A. WZL-1
    WZL-1 is a major Polish aerospace and defense company specializing in the maintenance, repair, and modernization of military aircraft and related systems.
  • B. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • C. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • D. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • E. LW2
    LW2 is a specific trim level of the Saturn L-Series midsize station wagon, offering a particular set of features and equipment within that model line.
  • 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: WZL-2
Triple: [Polish defense industry, hasKeyActor, WZL-2]
Generated description
WZL-2 is a major Polish aerospace and defense company specializing in the maintenance, repair, and modernization of military aircraft and related systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WZL-2
Target entity description: WZL-2 is a major Polish aerospace and defense company specializing in the maintenance, repair, and modernization of military aircraft and related systems.
  • A. WZL-1 chosen
    WZL-1 is a major Polish aerospace and defense company specializing in the maintenance, repair, and modernization of military aircraft and related systems.
  • B. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • C. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • D. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • E. LW2
    LW2 is a specific trim level of the Saturn L-Series midsize station wagon, offering a particular set of features and equipment within that model line.
  • F. None of above.

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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd48b208190afaa62975805d087 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5285093208190a2ba00afcbd8a261 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b528d33c2081908e5f74005679dfbe completed March 14, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69b5294c66588190ad7cc8e87b58ff52 completed March 14, 2026, 9:24 a.m.
Created at: March 9, 2026, 3:21 p.m.