Triple

T1250304
Position Surface form Disambiguated ID Type / Status
Subject Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in the Federal Republic of Germany E26859 entity
Predicate abbreviation P43 FINISHED
Object KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
 E143957 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: KMK | Statement: [Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in the Federal Republic of Germany, abbreviation, KMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMK
Context triple: [Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in the Federal Republic of Germany, abbreviation, KMK]
  • A. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • B. MKK
    MKK is the IATA airport code for Molokaʻi Airport, the main air gateway to the Hawaiian island of Molokaʻi.
  • C. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • D. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • E. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • 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: KMK
Triple: [Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in the Federal Republic of Germany, abbreviation, KMK]
Generated description
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMK
Target entity description: KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • A. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • B. MKK
    MKK is the IATA airport code for Molokaʻi Airport, the main air gateway to the Hawaiian island of Molokaʻi.
  • C. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • D. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • E. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf84c73c8190bbb14265cd7ab6ae completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c66bf881908f4b63548341178e completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac943de3f0819085dff5ef12f01766 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95c05ab081909db602d7bea73bf4 completed March 7, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:47 p.m.