Triple

T9387753
Position Surface form Disambiguated ID Type / Status
Subject Artisan 3D radar E225945 entity
Predicate trackingCapability P18529 FINISHED
Object air targets LITERAL 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: air targets | Statement: [Artisan 3D radar, trackingCapability, air targets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trackingCapability
Context triple: [Artisan 3D radar, trackingCapability, air targets]
  • A. trackingAvailable
    Indicates that tracking information or functionality is available for the associated item, process, or interaction.
  • B. trackingTechnology
    Indicates that one entity uses or is associated with a technology designed to monitor, record, or follow the behavior, location, or interactions of another entity.
  • C. trackingType chosen
    Indicates the method or category by which an entity’s movement, status, or progress is monitored or recorded.
  • D. trackingDetectorTechnology
    Indicates that an entity uses or is associated with a specific technology for tracking detectors (devices that measure and reconstruct particle trajectories).
  • E. trackAccess
    Indicates that one entity monitors, records, or keeps a log of another entity’s access or usage of a resource.
  • F. None of above.

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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d562a48190875d9fe3aae25a2b completed April 1, 2026, 5:07 p.m.
PD Predicate disambiguation batch_69cca53bd6ec81909bf403ce304e5c08 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:45 p.m.