Triple

T6036410
Position Surface form Disambiguated ID Type / Status
Subject PZL P.11 E134432 entity
Predicate manufacturer P490 FINISHED
Object PZL
PZL is a Polish aerospace manufacturer known for producing military and civilian aircraft, particularly in the interwar and Cold War periods.
 E564906 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: PZL | Statement: [PZL P.11, manufacturer, PZL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PZL
Context triple: [PZL P.11, manufacturer, PZL]
  • A. PZL-Wrocław
    PZL-Wrocław is a Polish aerospace and defense manufacturer known for producing and servicing military aircraft and related equipment.
  • B. PZL Warszawa-Okęcie
    PZL Warszawa-Okęcie is a Polish aerospace manufacturer known for producing military and training aircraft.
  • C. PZL-Kalisz
    PZL-Kalisz is a Polish aerospace and defense manufacturer best known for producing aircraft engines and related components for both military and civilian applications.
  • D. PZL Mielec
    PZL Mielec is a major Polish aerospace and defense manufacturer known for producing military and civilian aircraft and components.
  • E. PZL Świdnik
    PZL Świdnik is a major Polish aerospace manufacturer best known for producing helicopters and other aircraft, and is a key part of Poland’s defense and aviation industry.
  • 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: PZL
Triple: [PZL P.11, manufacturer, PZL]
Generated description
PZL is a Polish aerospace manufacturer known for producing military and civilian aircraft, particularly in the interwar and Cold War periods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PZL
Target entity description: PZL is a Polish aerospace manufacturer known for producing military and civilian aircraft, particularly in the interwar and Cold War periods.
  • A. PZL-Wrocław
    PZL-Wrocław is a Polish aerospace and defense manufacturer known for producing and servicing military aircraft and related equipment.
  • B. PZL Warszawa-Okęcie
    PZL Warszawa-Okęcie is a Polish aerospace manufacturer known for producing military and training aircraft.
  • C. PZL-Kalisz
    PZL-Kalisz is a Polish aerospace and defense manufacturer best known for producing aircraft engines and related components for both military and civilian applications.
  • D. PZL Mielec
    PZL Mielec is a major Polish aerospace and defense manufacturer known for producing military and civilian aircraft and components.
  • E. PZL Świdnik
    PZL Świdnik is a major Polish aerospace manufacturer best known for producing helicopters and other aircraft, and is a key part of Poland’s defense and aviation industry.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b4e3ec819089b2d119ea2953fe completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1138cb2388190a80562a835388dc3 completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c11551bec88190be77db3ec96045ad completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115f88e948190a3ea11b33742779c completed March 23, 2026, 10:29 a.m.
Created at: March 22, 2026, 4:08 p.m.