Triple
T17447748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manas International Airport |
E424828
|
entity |
| Predicate | hubFor |
P423
|
FINISHED |
| Object |
Air Manas
Air Manas is a Kyrgyzstan-based airline that operated passenger flights, primarily serving regional routes in Central Asia.
|
E1269295
|
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: Air Manas | Statement: [Manas International Airport, hubFor, Air Manas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Air Manas Context triple: [Manas International Airport, hubFor, Air Manas]
-
A.
Mongul
Mongul is a powerful and ruthless intergalactic warlord in DC Comics, often depicted as a major adversary of Superman and the Green Lantern Corps.
-
B.
Manzherok
Manzherok is a village and popular tourist resort area in Russia’s Altai Republic, known for its scenic mountain landscapes, ski facilities, and the nearby Manzherok Lake.
-
C.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
D.
Mazani
Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
-
E.
Esenguly
Esenguly is a town in western Turkmenistan located in the Balkan Region near the Caspian Sea.
- 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: Air Manas Triple: [Manas International Airport, hubFor, Air Manas]
Generated description
Air Manas is a Kyrgyzstan-based airline that operated passenger flights, primarily serving regional routes in Central Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Air Manas Target entity description: Air Manas is a Kyrgyzstan-based airline that operated passenger flights, primarily serving regional routes in Central Asia.
-
A.
Mongul
Mongul is a powerful and ruthless intergalactic warlord in DC Comics, often depicted as a major adversary of Superman and the Green Lantern Corps.
-
B.
Manzherok
Manzherok is a village and popular tourist resort area in Russia’s Altai Republic, known for its scenic mountain landscapes, ski facilities, and the nearby Manzherok Lake.
-
C.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
D.
Mazani
Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
-
E.
Esenguly
Esenguly is a town in western Turkmenistan located in the Balkan Region near the Caspian Sea.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffe18f08190be023de89e3d7d5c |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01affab32081908d97960513a6e8e4 |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b164864481909673d9351bb7f817 |
completed | May 11, 2026, 10:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b251040c8190a1d030cb55e4f052 |
completed | May 11, 2026, 10:41 a.m. |
Created at: April 10, 2026, 5:47 a.m.