Triple

T16486994
Position Surface form Disambiguated ID Type / Status
Subject K2 red telephone box E400470 entity
Predicate hasVariant P455 FINISHED
Object K2 Mark 2
K2 Mark 2 is a later design variant of the iconic British K2 red telephone box, featuring modified details while retaining the classic cast-iron kiosk form.
 E1216162 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: K2 Mark 2 | Statement: [K2 red telephone box, hasVariant, K2 Mark 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K2 Mark 2
Context triple: [K2 red telephone box, hasVariant, K2 Mark 2]
  • A. K2A
    K2A is a modernized variant of South Korea’s K2 assault rifle, featuring updated ergonomics and improved components for enhanced performance and reliability.
  • B. Kelty
    Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
  • C. K2 Sports
    K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
  • D. K2C
    K2C is a compact, carbine-length South Korean assault rifle derived from the K2 platform, designed for improved maneuverability in close-quarters and modern infantry roles.
  • E. Kuhl
    Kuhl was a 19th-century German zoologist and naturalist known for his early taxonomic work on reptiles, birds, and other vertebrates.
  • 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: K2 Mark 2
Triple: [K2 red telephone box, hasVariant, K2 Mark 2]
Generated description
K2 Mark 2 is a later design variant of the iconic British K2 red telephone box, featuring modified details while retaining the classic cast-iron kiosk form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K2 Mark 2
Target entity description: K2 Mark 2 is a later design variant of the iconic British K2 red telephone box, featuring modified details while retaining the classic cast-iron kiosk form.
  • A. K2A
    K2A is a modernized variant of South Korea’s K2 assault rifle, featuring updated ergonomics and improved components for enhanced performance and reliability.
  • B. Kelty
    Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
  • C. K2 Sports
    K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
  • D. K2C
    K2C is a compact, carbine-length South Korean assault rifle derived from the K2 platform, designed for improved maneuverability in close-quarters and modern infantry roles.
  • E. Kuhl
    Kuhl was a 19th-century German zoologist and naturalist known for his early taxonomic work on reptiles, birds, and other vertebrates.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e078d0c8190a5698a5eb9df22d4 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582275308190a0fb3944d74916cf completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0058a1c51c81908f49db448a4d0365 completed May 10, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a00595837c4819093f1a1a35185bc4b completed May 10, 2026, 10:09 a.m.
Created at: April 10, 2026, 5:13 a.m.