Triple
T9313863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minsk National Airport |
E224069
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object |
Genex
Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
|
E791393
|
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: Genex | Statement: [Minsk National Airport, isHubFor, Genex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genex Context triple: [Minsk National Airport, isHubFor, Genex]
-
A.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
B.
Morgex
Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
-
C.
Ventris
Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
-
D.
Genivar Inc.
Genivar Inc. was a Canadian engineering and professional services firm that grew through acquisitions and later rebranded as WSP Global.
-
E.
Array BioPharma
Array BioPharma is a biopharmaceutical company known for developing targeted small-molecule cancer therapies, particularly in oncology and rare diseases.
- 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: Genex Triple: [Minsk National Airport, isHubFor, Genex]
Generated description
Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Genex Target entity description: Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
-
A.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
B.
Morgex
Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
-
C.
Ventris
Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
-
D.
Genivar Inc.
Genivar Inc. was a Canadian engineering and professional services firm that grew through acquisitions and later rebranded as WSP Global.
-
E.
Array BioPharma
Array BioPharma is a biopharmaceutical company known for developing targeted small-molecule cancer therapies, particularly in oncology and rare diseases.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7a0adc4819097ac906f03f0188e |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0c8a7190c819097e71c15f7924268 |
completed | April 4, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c9e7e7d08190bddc6786f0fcea9e |
completed | April 4, 2026, 8:20 a.m. |
Created at: March 30, 2026, 7:37 p.m.