Triple
T7464901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skopje International Airport |
E176347
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SKP
SKP is the IATA airport code for Skopje International Airport, the main international airport serving North Macedonia’s capital city.
|
E666468
|
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: SKP | Statement: [Skopje International Airport, IATAcode, SKP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKP Context triple: [Skopje International Airport, IATAcode, SKP]
-
A.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
-
B.
SKB
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
-
C.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
D.
SKN
SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
-
E.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
- 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: SKP Triple: [Skopje International Airport, IATAcode, SKP]
Generated description
SKP is the IATA airport code for Skopje International Airport, the main international airport serving North Macedonia’s capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKP Target entity description: SKP is the IATA airport code for Skopje International Airport, the main international airport serving North Macedonia’s capital city.
-
A.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
-
B.
SKB
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
-
C.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
D.
SKN
SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
-
E.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f28f34819080713a8abcc22034 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8346adb3081908f049d8dcd623215 |
completed | March 28, 2026, 8:04 p.m. |
| NEDg | Description generation | batch_69c835904be081908fa9317eb5568d82 |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83621b32c8190bd4b289b5f9f1764 |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:40 p.m.