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.