Triple

T19623075
Position Surface form Disambiguated ID Type / Status
Subject MKJS E471061 entity
Predicate icaoRegionPrefix P34409 FINISHED
Object MK
MK is the ICAO aircraft registration prefix assigned to the Republic of North Macedonia.
E1387331 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: [MKJS, icaoRegionPrefix, MK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MK
Context triple: [MKJS, icaoRegionPrefix, 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 vehicle registration code used on license plates for the Märkischer Kreis district in North Rhine-Westphalia, Germany.
  • E. MK
    MK is the commonly used abbreviation for Mladí konzervativci, a Czech youth organization associated with conservative political values.
  • 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: [MKJS, icaoRegionPrefix, MK]
Generated description
MK is the ICAO aircraft registration prefix assigned to the Republic of North Macedonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MK
Target entity description: MK is the ICAO aircraft registration prefix assigned to the Republic of North Macedonia.
  • A. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • B. MK
    MK is the two-letter IATA airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • 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 vehicle registration code used on license plates for the Märkischer Kreis district in North Rhine-Westphalia, Germany.
  • E. MK
    MK is the commonly used abbreviation for Mladí konzervativci, a Czech youth organization associated with conservative political values.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e7949081908a89414ef899fa20 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771ba404c8190b2a6638255bf70e2 completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a077845cd008190ac6f8f611783fa87 completed May 15, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0778c1cfb881909ab613cd4e125120 completed May 15, 2026, 7:49 p.m.
Created at: April 10, 2026, 1:44 p.m.