Triple
T4455813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Airline |
E97719
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SKU
SKU is the three-letter ICAO airline designator assigned to Sky Airline, used in aviation operations and air traffic control.
|
E442199
|
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: SKU | Statement: [Sky Airline, ICAOcode, SKU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKU Context triple: [Sky Airline, ICAOcode, SKU]
-
A.
Sk
Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
-
B.
UPC
UPC is the commonly used acronym for the Polytechnic University of Catalonia, a leading Spanish public institution specializing in engineering, architecture, and technology.
-
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: SKU Triple: [Sky Airline, ICAOcode, SKU]
Generated description
SKU is the three-letter ICAO airline designator assigned to Sky Airline, used in aviation operations and air traffic control.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKU Target entity description: SKU is the three-letter ICAO airline designator assigned to Sky Airline, used in aviation operations and air traffic control.
-
A.
Sk
Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
-
B.
UPC
UPC is the commonly used acronym for the Polytechnic University of Catalonia, a leading Spanish public institution specializing in engineering, architecture, and technology.
-
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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f79ca481909338dda9f4f7171f |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6282743e08190a2c84f3b80c6d260 |
completed | March 15, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69b62af29d3c81908cb82d142c2a55a4 |
completed | March 15, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62ba4d6c88190b4eaacd09a0b2b66 |
completed | March 15, 2026, 3:46 a.m. |
Created at: March 12, 2026, 11:33 p.m.