Triple

T17996640
Position Surface form Disambiguated ID Type / Status
Subject Mladí konzervativci E430517 entity
Predicate shortName P43 FINISHED
Object MK
MK is the commonly used abbreviation for Mladí konzervativci, a Czech youth organization associated with conservative political values.
 E1300571 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: MK | Statement: [Mladí konzervativci, shortName, MK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MK
Context triple: [Mladí konzervativci, shortName, MK]
  • A. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • B. MK
    MK is the commonly used abbreviation for Umkhonto we Sizwe, the former armed wing of South Africa’s African National Congress during the anti-apartheid struggle.
  • C. MK
    MK is the postal area code designation for Milton Keynes and its surrounding region in the United Kingdom.
  • D. MK
    MK is the two-letter IATA airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • E. MK
    MK is the vehicle registration code used on license plates for the Märkischer Kreis district in North Rhine-Westphalia, Germany.
  • 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: MK
Triple: [Mladí konzervativci, shortName, MK]
Generated description
MK is the commonly used abbreviation for Mladí konzervativci, a Czech youth organization associated with conservative political values.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MK
Target entity description: MK is the commonly used abbreviation for Mladí konzervativci, a Czech youth organization associated with conservative political values.
  • A. MK
    MK is the commonly used abbreviation for Umkhonto we Sizwe, the former armed wing of South Africa’s African National Congress during the anti-apartheid struggle.
  • B. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • C. MK
    MK is the postal area code designation for Milton Keynes and its surrounding region in the United Kingdom.
  • D. MK
    MK is an American DJ, record producer, and remixer best known for his influential house music tracks and club remixes since the 1990s.
  • E. MK
    MK is the vehicle registration code used on license plates for the Märkischer Kreis district in North Rhine-Westphalia, Germany.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e4ae948190903ed255b0fe1dca completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b04a708190b5a734b8e50b51c2 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca6a2608190a391694153070cc8 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d6bf3f48190ac141febc04608f6 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.