Triple

T27995343
Position Surface form Disambiguated ID Type / Status
Subject AK-630 E706995 entity
Predicate fireControlRadar P32605 FINISHED
Object MR-123 Vympel
MR-123 Vympel is a Russian naval fire-control radar system used to direct close-in weapon systems such as the AK-630 for shipboard air and missile defense.
 E1796198 NE FINISHED

How this triple was built (3 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: MR-123 Vympel | Statement: [AK-630, fireControlRadar, MR-123 Vympel]
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: MR-123 Vympel
Triple: [AK-630, fireControlRadar, MR-123 Vympel]
Generated description
MR-123 Vympel is a Russian naval fire-control radar system used to direct close-in weapon systems such as the AK-630 for shipboard air and missile defense.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fireControlRadar
Context triple: [AK-630, fireControlRadar, MR-123 Vympel]
  • A. fireControlSystem
    Indicates a relationship where a system monitors, directs, and coordinates the detection, targeting, and firing of weapons or other actuators to control the application of force or energy.
  • B. fireControlFeature
    Indicates a relationship where an entity possesses or is associated with a capability or mechanism for directing, managing, or controlling the use of fire or weapon fire.
  • C. firingControl
    Indicates a relationship where one entity directs, regulates, or initiates the firing or discharge action of another entity or system.
  • D. hasFireControlSystem
    Indicates that an entity is equipped with or includes a fire control system used to detect, track, and direct weapons or suppression against targets.
  • E. radarEquipment chosen
    Indicates that one entity is radar equipment used for detecting, tracking, or measuring objects relative to another entity.
  • F. None of above.

Provenance (6 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_69ef96b980d88190a753b2f9a978595a completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63baa8ce081909988f71080b086dc completed May 2, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13118723008190bd7a8cd7e610e95f completed May 24, 2026, 2:56 p.m.
NEDg Description generation batch_6a131221c2988190a631f02ba9c5f6b4 completed May 24, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a13143573d881908f94a0403cf70ceb completed May 24, 2026, 3:07 p.m.
PD Predicate disambiguation batch_69f63710d17c819084cfe96e6df334fd completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 7:53 p.m.