Triple
T12690019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bassel Al-Assad International Airport |
E303176
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
OSLK
OSLK is the ICAO airport code for Bassel Al-Assad International Airport, a major airport serving the coastal region of Syria near Latakia.
|
E999008
|
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: OSLK | Statement: [Bassel Al-Assad International Airport, ICAOcode, OSLK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSLK Context triple: [Bassel Al-Assad International Airport, ICAOcode, OSLK]
-
A.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
B.
OSL
OSL is the vehicle registration code for the district of Oberspreewald-Lausitz in the German state of Brandenburg.
-
C.
KSLK
KSLK is the ICAO airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
-
D.
LSK
LSK is a common abbreviation for Lillestrøm SK, a Norwegian football club known for competing in the country’s top divisions and having a strong local fan base.
-
E.
OKL
OKL was the supreme command authority of Nazi Germany’s Luftwaffe, overseeing its air force operations, organization, and strategy during World War II.
- 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: OSLK Triple: [Bassel Al-Assad International Airport, ICAOcode, OSLK]
Generated description
OSLK is the ICAO airport code for Bassel Al-Assad International Airport, a major airport serving the coastal region of Syria near Latakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSLK Target entity description: OSLK is the ICAO airport code for Bassel Al-Assad International Airport, a major airport serving the coastal region of Syria near Latakia.
-
A.
OSL
OSL is the vehicle registration code for the district of Oberspreewald-Lausitz in the German state of Brandenburg.
-
B.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
C.
KSLK
KSLK is the ICAO airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
-
D.
LSK
LSK is a common abbreviation for Lillestrøm SK, a Norwegian football club known for competing in the country’s top divisions and having a strong local fan base.
-
E.
OKL
OKL was the supreme command authority of Nazi Germany’s Luftwaffe, overseeing its air force operations, organization, and strategy during World War II.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dabb38819087738361f9de8066 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671aacfa8819088fd113474638238 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6751f79148190a1735abf489fd106 |
completed | May 2, 2026, 10:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675c42fec8190b60751c0db88f3b6 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 9, 2026, 5:21 p.m.