Triple

T6836312
Position Surface form Disambiguated ID Type / Status
Subject Magnusson Klemencic Associates E157459 entity
Predicate abbreviation P43 FINISHED
Object MKA
MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
 E622189 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: MKA | Statement: [Magnusson Klemencic Associates, abbreviation, MKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MKA
Context triple: [Magnusson Klemencic Associates, abbreviation, MKA]
  • A. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • B. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • C. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • D. MK 2
    MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
  • E. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • 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: MKA
Triple: [Magnusson Klemencic Associates, abbreviation, MKA]
Generated description
MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MKA
Target entity description: MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
  • A. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • B. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • C. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • D. MK 2
    MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
  • E. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67c1c508190ab39b8aaaaacc628 completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723ffce448190ac8edbaaa1517972 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724b85ec48190ba52ebdcb5cd70db completed March 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:19 p.m.