Triple
T12500319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangkok Airways |
E298802
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Sahakol Air
Sahakol Air was the original name of the Thai regional airline that later became Bangkok Airways.
|
E987840
|
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: Sahakol Air | Statement: [Bangkok Airways, formerName, Sahakol Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sahakol Air Context triple: [Bangkok Airways, formerName, Sahakol Air]
-
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.
Mahan Air
Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
-
C.
Loong Air
Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
-
D.
Akasa Air
Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
-
E.
Buddha Air
Buddha Air is a prominent Nepalese domestic airline known for operating scheduled flights and mountain sightseeing tours, particularly around the Himalayas.
- 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: Sahakol Air Triple: [Bangkok Airways, formerName, Sahakol Air]
Generated description
Sahakol Air was the original name of the Thai regional airline that later became Bangkok Airways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sahakol Air Target entity description: Sahakol Air was the original name of the Thai regional airline that later became Bangkok Airways.
-
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.
Mahan Air
Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
-
C.
Loong Air
Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
-
D.
Akasa Air
Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
-
E.
Buddha Air
Buddha Air is a prominent Nepalese domestic airline known for operating scheduled flights and mountain sightseeing tours, particularly around the Himalayas.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb131608190b34a07a7026b160e |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:57 p.m.