Triple

T3796832
Position Surface form Disambiguated ID Type / Status
Subject Royal Swedish Academy of Music E91590 entity
Predicate abbreviation P43 FINISHED
Object KMA
KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
 E389086 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: KMA | Statement: [Royal Swedish Academy of Music, abbreviation, KMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMA
Context triple: [Royal Swedish Academy of Music, abbreviation, KMA]
  • A. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. OKM
    OKM was the abbreviation for the Oberkommando der Marine, the supreme command authority of Nazi Germany’s Kriegsmarine (navy) during World War II.
  • D. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • E. KMAC
    KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
  • 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: KMA
Triple: [Royal Swedish Academy of Music, abbreviation, KMA]
Generated description
KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMA
Target entity description: KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
  • A. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. OKM
    OKM was the abbreviation for the Oberkommando der Marine, the supreme command authority of Nazi Germany’s Kriegsmarine (navy) during World War II.
  • D. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • E. KMAC
    KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a0818481909460197929ebb8e4 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f061a9e481908d16ae0aa44e2f16 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f25fab648190abbded4d44357c54 completed March 14, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69b4f314a63c8190a76ed8f4bd21eaf5 completed March 14, 2026, 5:33 a.m.
Created at: March 9, 2026, 3:15 p.m.