Triple

T3897359
Position Surface form Disambiguated ID Type / Status
Subject Polish defense industry E90401 entity
Predicate hasKeyActor P30416 FINISHED
Object WZL-33
WZL-33 is a Polish defense industry facility specializing in the maintenance, repair, and modernization of military aircraft and related aviation systems.
 E405658 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-33 | Statement: [Polish defense industry, hasKeyActor, WZL-33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WZL-33
Context triple: [Polish defense industry, hasKeyActor, WZL-33]
  • 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. WZL-4
    WZL-4 is a Polish aerospace and defense maintenance and repair facility specializing in the overhaul and modernization of military aircraft and related systems.
  • C. WZL-5
    WZL-5 is a major Polish aerospace and defense maintenance and repair facility specializing in the overhaul and modernization of military aircraft and helicopters.
  • D. WZL-22
    WZL-22 is a Polish state-owned aerospace and defense company specializing in the maintenance, repair, and modernization of military aircraft and aviation equipment.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary 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: WZL-33
Triple: [Polish defense industry, hasKeyActor, WZL-33]
Generated description
WZL-33 is a Polish defense industry facility specializing in the maintenance, repair, and modernization of military aircraft and related aviation systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WZL-33
Target entity description: WZL-33 is a Polish defense industry facility specializing in the maintenance, repair, and modernization of military aircraft and related aviation systems.
  • 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. WZL-4
    WZL-4 is a Polish aerospace and defense maintenance and repair facility specializing in the overhaul and modernization of military aircraft and related systems.
  • C. WZL-5
    WZL-5 is a major Polish aerospace and defense maintenance and repair facility specializing in the overhaul and modernization of military aircraft and helicopters.
  • D. WZL-22
    WZL-22 is a Polish state-owned aerospace and defense company specializing in the maintenance, repair, and modernization of military aircraft and aviation equipment.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary 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_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_69b54c34527c8190a43bcc45acbe9a3d completed March 14, 2026, 11:53 a.m.
NEDg Description generation batch_69b54ca1cda48190950e3e9d14f84c94 completed March 14, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_69b54d1a46b08190a79b1bd44eb60ee9 completed March 14, 2026, 11:57 a.m.
Created at: March 9, 2026, 3:21 p.m.