Triple

T3717273
Position Surface form Disambiguated ID Type / Status
Subject RAF Voyager KC2 E81560 entity
Predicate designation P38 FINISHED
Object KC2
KC2 is a variant of the Royal Air Force Voyager aerial refueling and transport aircraft configured with two underwing refueling pods.
 E381958 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: KC2 | Statement: [RAF Voyager KC2, designation, KC2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KC2
Context triple: [RAF Voyager KC2, designation, KC2]
  • A. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • B. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • C. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • D. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • E. K5
    K5 is an alternative name for Gasherbrum I, one of the world’s highest and most challenging eight-thousander peaks in the Karakoram range.
  • 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: KC2
Triple: [RAF Voyager KC2, designation, KC2]
Generated description
KC2 is a variant of the Royal Air Force Voyager aerial refueling and transport aircraft configured with two underwing refueling pods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KC2
Target entity description: KC2 is a variant of the Royal Air Force Voyager aerial refueling and transport aircraft configured with two underwing refueling pods.
  • A. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • B. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • C. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • D. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • E. K5
    K5 is an alternative name for Gasherbrum I, one of the world’s highest and most challenging eight-thousander peaks in the Karakoram range.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9d087c881909f6d2ec6e518fb02 completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1260948190b4707337e9427c2c completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4cf799ae88190bbf821f4c4500031 completed March 14, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69b4d0057fe8819092a40732324f88c9 completed March 14, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:33 p.m.