Triple

T16353386
Position Surface form Disambiguated ID Type / Status
Subject PIT-RADWAR E397112 entity
Predicate product P490 FINISHED
Object NUR-12 radar family
The NUR-12 radar family is a series of Polish 3D air-surveillance and target-tracking radars designed for modern air defense systems.
 E1215600 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: NUR-12 radar family | Statement: [PIT-RADWAR, product, NUR-12 radar family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NUR-12 radar family
Context triple: [PIT-RADWAR, product, NUR-12 radar family]
  • A. NUR-21 radar
    The NUR-21 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
  • B. NUR-22 radar
    The NUR-22 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
  • C. NUR-31 radar
    The NUR-31 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
  • D. NUR-41 radar
    The NUR-41 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for military airspace monitoring and target detection.
  • E. APS-137 radar family
    The APS-137 radar family is a series of maritime surveillance and anti-submarine warfare radars used on military aircraft for long-range surface search and tracking.
  • 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: NUR-12 radar family
Triple: [PIT-RADWAR, product, NUR-12 radar family]
Generated description
The NUR-12 radar family is a series of Polish 3D air-surveillance and target-tracking radars designed for modern air defense systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NUR-12 radar family
Target entity description: The NUR-12 radar family is a series of Polish 3D air-surveillance and target-tracking radars designed for modern air defense systems.
  • A. NUR-21 radar
    The NUR-21 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
  • B. NUR-22 radar
    The NUR-22 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
  • C. NUR-31 radar
    The NUR-31 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
  • D. NUR-41 radar
    The NUR-41 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for military airspace monitoring and target detection.
  • E. APS-137 radar family
    The APS-137 radar family is a series of maritime surveillance and anti-submarine warfare radars used on military aircraft for long-range surface search and tracking.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2faccab748190b11e0808e422f2ea completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3f93348190b835218ae42f3463 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050e566c48190ab8560e2f1f4173b completed May 10, 2026, 9:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00533c74748190af6477d9e86cbc63 completed May 10, 2026, 9:43 a.m.
Created at: April 10, 2026, 5:07 a.m.