Triple

T16353389
Position Surface form Disambiguated ID Type / Status
Subject PIT-RADWAR E397112 entity
Predicate product P490 FINISHED
Object NUR-22M radar E1210340 NE FINISHED

How this triple was built (2 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-22M radar | Statement: [PIT-RADWAR, product, NUR-22M radar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NUR-22M radar
Context triple: [PIT-RADWAR, product, NUR-22M radar]
  • A. NUR-22 radar chosen
    The NUR-22 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
  • B. 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.
  • 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. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_6a00606fe9dc8190a336dc17f16f0ab4 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:07 a.m.