Triple

T4307583
Position Surface form Disambiguated ID Type / Status
Subject Vitebsk Vostochny Airport E93992 entity
Predicate hasICAOCode P419 FINISHED
Object UMII
UMII is the ICAO airport code assigned to Vitebsk Vostochny Airport in Belarus.
E429219 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: UMII | Statement: [Vitebsk Vostochny Airport, hasICAOCode, UMII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMII
Context triple: [Vitebsk Vostochny Airport, hasICAOCode, UMII]
  • A. UMM
    UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
  • B. UniMi
    UniMi is the commonly used abbreviation for the University of Milan, a major public research university in Milan, Italy.
  • C. Umi Says
    "Umi Says" is a soulful, introspective hip-hop track by Mos Def that blends jazz-influenced instrumentation with themes of self-empowerment and spiritual reflection.
  • D. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • E. U Mad
    "U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
  • 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: UMII
Triple: [Vitebsk Vostochny Airport, hasICAOCode, UMII]
Generated description
UMII is the ICAO airport code assigned to Vitebsk Vostochny Airport in Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UMII
Target entity description: UMII is the ICAO airport code assigned to Vitebsk Vostochny Airport in Belarus.
  • A. UMM
    UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
  • B. UniMi
    UniMi is the commonly used abbreviation for the University of Milan, a major public research university in Milan, Italy.
  • C. Umi Says
    "Umi Says" is a soulful, introspective hip-hop track by Mos Def that blends jazz-influenced instrumentation with themes of self-empowerment and spiritual reflection.
  • D. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • E. U Mad
    "U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d2af088190ad7cb035d6e0f8c2 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c756809c8190af90c91ec7883e55 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c804f3f881908dd2d020d07c4859 completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c84e48b8819080571f995d8baf13 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:11 p.m.