Triple

T9594951
Position Surface form Disambiguated ID Type / Status
Subject SK-105 Kürassier E231507 entity
Predicate hasVariant P455 FINISHED
Object SK-105A3
The SK-105A3 is an upgraded variant of the Austrian SK-105 Kürassier light tank, featuring modernized fire control and improved combat capabilities.
 E811668 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: SK-105A3 | Statement: [SK-105 Kürassier, hasVariant, SK-105A3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SK-105A3
Context triple: [SK-105 Kürassier, hasVariant, SK-105A3]
  • A. SK-105A1
    The SK-105A1 is an upgraded variant of the Austrian SK-105 Kürassier light tank destroyer, featuring improved fire control and combat capabilities.
  • B. SK-105A2
    The SK-105A2 is an upgraded variant of the Austrian SK-105 Kürassier light tank, featuring improved fire control, optics, and combat capabilities.
  • C. A5103
    A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
  • D. A-Spec
    A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
  • E. SKB
    SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
  • 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: SK-105A3
Triple: [SK-105 Kürassier, hasVariant, SK-105A3]
Generated description
The SK-105A3 is an upgraded variant of the Austrian SK-105 Kürassier light tank, featuring modernized fire control and improved combat capabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SK-105A3
Target entity description: The SK-105A3 is an upgraded variant of the Austrian SK-105 Kürassier light tank, featuring modernized fire control and improved combat capabilities.
  • A. SK-105A1
    The SK-105A1 is an upgraded variant of the Austrian SK-105 Kürassier light tank destroyer, featuring improved fire control and combat capabilities.
  • B. SK-105A2
    The SK-105A2 is an upgraded variant of the Austrian SK-105 Kürassier light tank, featuring improved fire control, optics, and combat capabilities.
  • C. A5103
    A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
  • D. A-Spec
    A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
  • E. SKB
    SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a14fd308190beb8fda5a9e912c7 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1821ad79c81908fa871ee2893d2f9 completed April 4, 2026, 9:26 p.m.
NEDg Description generation batch_69d1829b6bbc8190b767a5da1e297eb5 completed April 4, 2026, 9:28 p.m.
NED2 Entity disambiguation (via description) batch_69d182f059a481908e87263a87a62b9e completed April 4, 2026, 9:30 p.m.
Created at: March 30, 2026, 8:07 p.m.