Triple
T4307582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitebsk Vostochny Airport |
E93992
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object |
VTB
VTB is the IATA airport code assigned to Vitebsk Vostochny Airport in Belarus.
|
E429218
|
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: VTB | Statement: [Vitebsk Vostochny Airport, hasIATACode, VTB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VTB Context triple: [Vitebsk Vostochny Airport, hasIATACode, VTB]
-
A.
VTB Bank
VTB Bank is one of Russia’s largest state-controlled financial institutions, offering a wide range of banking and financial services domestically and internationally.
-
B.
VKO
VKO is the IATA airport code for Vnukovo International Airport, one of Moscow’s major international airports in Russia.
-
C.
Lebedev Holdings
Lebedev Holdings is a media investment company controlled by the Lebedev family, best known for owning the London-based newspaper the Evening Standard.
-
D.
ΦΒΚ
ΦΒΚ is the Greek-letter abbreviation for Phi Beta Kappa, the oldest and one of the most prestigious academic honor societies in the United States, recognizing excellence in the liberal arts and sciences.
-
E.
MKB Fakel
MKB Fakel is a Russian aerospace company best known for developing and producing rocket and space propulsion systems, particularly electric thrusters for satellites.
- 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: VTB Triple: [Vitebsk Vostochny Airport, hasIATACode, VTB]
Generated description
VTB is the IATA airport code assigned to Vitebsk Vostochny Airport in Belarus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VTB Target entity description: VTB is the IATA airport code assigned to Vitebsk Vostochny Airport in Belarus.
-
A.
VTB Bank
VTB Bank is one of Russia’s largest state-controlled financial institutions, offering a wide range of banking and financial services domestically and internationally.
-
B.
VKO
VKO is the IATA airport code for Vnukovo International Airport, one of Moscow’s major international airports in Russia.
-
C.
Lebedev Holdings
Lebedev Holdings is a media investment company controlled by the Lebedev family, best known for owning the London-based newspaper the Evening Standard.
-
D.
ΦΒΚ
ΦΒΚ is the Greek-letter abbreviation for Phi Beta Kappa, the oldest and one of the most prestigious academic honor societies in the United States, recognizing excellence in the liberal arts and sciences.
-
E.
MKB Fakel
MKB Fakel is a Russian aerospace company best known for developing and producing rocket and space propulsion systems, particularly electric thrusters for satellites.
- 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.