Triple

T16389957
Position Surface form Disambiguated ID Type / Status
Subject K2 assault rifle E398022 entity
Predicate hasVariant P455 FINISHED
Object K2A
K2A is a modernized variant of South Korea’s K2 assault rifle, featuring updated ergonomics and improved components for enhanced performance and reliability.
 E1209934 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: K2A | Statement: [K2 assault rifle, hasVariant, K2A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K2A
Context triple: [K2 assault rifle, hasVariant, K2A]
  • A. K1A2
    The K1A2 is a modernized South Korean main battle tank variant featuring upgraded firepower, protection, and digital systems derived from the original K1 series.
  • B. K2S
    K2S is a Canadian postal code prefix that serves part of the suburban community of Stittsville in Ottawa, Ontario.
  • C. K3
    K3 is another name for Broad Peak, a major mountain in the Karakoram range and one of the world’s fourteen peaks over 8,000 meters.
  • D. K3
    K3 is a three-valued logical system introduced by Stephen Kleene that extends classical logic with an additional truth value to handle partial or undefined information.
  • E. K1A1
    The K1A1 is a South Korean main battle tank, an upgraded variant of the K1 featuring enhanced firepower, armor, and a 120 mm smoothbore main gun.
  • 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: K2A
Triple: [K2 assault rifle, hasVariant, K2A]
Generated description
K2A is a modernized variant of South Korea’s K2 assault rifle, featuring updated ergonomics and improved components for enhanced performance and reliability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K2A
Target entity description: K2A is a modernized variant of South Korea’s K2 assault rifle, featuring updated ergonomics and improved components for enhanced performance and reliability.
  • A. K1A2
    The K1A2 is a modernized South Korean main battle tank variant featuring upgraded firepower, protection, and digital systems derived from the original K1 series.
  • B. K2S
    K2S is a Canadian postal code prefix that serves part of the suburban community of Stittsville in Ottawa, Ontario.
  • C. K3
    K3 is another name for Broad Peak, a major mountain in the Karakoram range and one of the world’s fourteen peaks over 8,000 meters.
  • D. K3
    K3 is a three-valued logical system introduced by Stephen Kleene that extends classical logic with an additional truth value to handle partial or undefined information.
  • E. K1A1
    The K1A1 is a South Korean main battle tank, an upgraded variant of the K1 featuring enhanced firepower, armor, and a 120 mm smoothbore main gun.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326414f44819093ebc11f1b63444c completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a003659af2481908ccf0cc65b673b8f completed May 10, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0037957d7c81908b517ebea0b70a5b completed May 10, 2026, 7:45 a.m.
Created at: April 10, 2026, 5:08 a.m.