Triple

T9403500
Position Surface form Disambiguated ID Type / Status
Subject Minsk-1 Airport E226531 entity
Predicate ICAOcode P419 FINISHED
Object UMMM
UMMM is the ICAO airport code assigned to Minsk-1 Airport in Minsk, Belarus.
E795899 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: UMMM | Statement: [Minsk-1 Airport, ICAOcode, UMMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMMM
Context triple: [Minsk-1 Airport, ICAOcode, UMMM]
  • A. UMM
    UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
  • B. UMM
    UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
  • C. UMII
    UMII is the ICAO airport code assigned to Vitebsk Vostochny Airport in Belarus.
  • D. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • E. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • 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: UMMM
Triple: [Minsk-1 Airport, ICAOcode, UMMM]
Generated description
UMMM is the ICAO airport code assigned to Minsk-1 Airport in Minsk, Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UMMM
Target entity description: UMMM is the ICAO airport code assigned to Minsk-1 Airport in Minsk, Belarus.
  • A. UMM
    UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
  • B. UMM
    UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
  • C. UMII
    UMII is the ICAO airport code assigned to Vitebsk Vostochny Airport in Belarus.
  • D. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • E. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51bf7e5c8190850b671778496150 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012ca6c0819098c427233d226dd2 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d101bf84548190a28e5f24aff265b1 completed April 4, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69d1025ebf5c8190914b682117b01827 completed April 4, 2026, 12:21 p.m.
Created at: March 30, 2026, 7:46 p.m.