Triple
T6163818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazrat Shahjalal International Airport |
E137507
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object |
Air Astra
Air Astra is a Bangladeshi airline that operates domestic flights, primarily centered around Dhaka’s Hazrat Shahjalal International Airport.
|
E573571
|
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 Astra | Statement: [Hazrat Shahjalal International Airport, focusCityFor, Air Astra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Air Astra Context triple: [Hazrat Shahjalal International Airport, focusCityFor, Air Astra]
-
A.
Solaseed Air
Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
-
B.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
C.
Aeroplan
Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
-
D.
Air Busan
Air Busan is a South Korean low-cost airline based in Busan that operates domestic and international flights across East Asia.
-
E.
Altior
Altior is a celebrated British National Hunt racehorse renowned for his exceptional unbeaten streak over fences and multiple Grade 1 victories.
- 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 Astra Triple: [Hazrat Shahjalal International Airport, focusCityFor, Air Astra]
Generated description
Air Astra is a Bangladeshi airline that operates domestic flights, primarily centered around Dhaka’s Hazrat Shahjalal International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Air Astra Target entity description: Air Astra is a Bangladeshi airline that operates domestic flights, primarily centered around Dhaka’s Hazrat Shahjalal International Airport.
-
A.
Solaseed Air
Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
-
B.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
C.
Aeroplan
Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
-
D.
Air Busan
Air Busan is a South Korean low-cost airline based in Busan that operates domestic and international flights across East Asia.
-
E.
Altior
Altior is a celebrated British National Hunt racehorse renowned for his exceptional unbeaten streak over fences and multiple Grade 1 victories.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d6036f88190a4bf540e7fe8d48d |
completed | March 22, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1419e7f0481908b7ce6f36871f1ad |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c14855288881909b842db040fe5c54 |
completed | March 23, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c148d16c048190a473e8f49df43705 |
completed | March 23, 2026, 2:06 p.m. |
Created at: March 22, 2026, 4:17 p.m.