Triple
T17772726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyUp Airlines |
E443681
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
SQP
SQP is the ICAO airline designator assigned to SkyUp Airlines, a Ukrainian low-cost carrier.
|
E1287512
|
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: SQP | Statement: [SkyUp Airlines, ICAOCode, SQP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SQP Context triple: [SkyUp Airlines, ICAOCode, SQP]
-
A.
SQP One
SQP One is a prominent residential skyscraper in the South Quay Plaza development on the Isle of Dogs in London’s Docklands.
-
B.
SCQP
SCQP is the ICAO airport code for La Araucanía International Airport in Chile.
-
C.
LSQ
LSQ is the three-letter station code for Leicester Square, a London Underground station in the West End.
-
D.
Karush–Kuhn–Tucker conditions
The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
-
E.
SCIP
SCIP is the ICAO airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
- 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: SQP Triple: [SkyUp Airlines, ICAOCode, SQP]
Generated description
SQP is the ICAO airline designator assigned to SkyUp Airlines, a Ukrainian low-cost carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SQP Target entity description: SQP is the ICAO airline designator assigned to SkyUp Airlines, a Ukrainian low-cost carrier.
-
A.
SQP One
SQP One is a prominent residential skyscraper in the South Quay Plaza development on the Isle of Dogs in London’s Docklands.
-
B.
SCQP
SCQP is the ICAO airport code for La Araucanía International Airport in Chile.
-
C.
LSQ
LSQ is the three-letter station code for Leicester Square, a London Underground station in the West End.
-
D.
Karush–Kuhn–Tucker conditions
The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
-
E.
SCIP
SCIP is the ICAO airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871a2130819081743ae89dddc64b |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc6004c819095f9b6284b015b8d |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f113a41c8190b17611eaa50516ca |
completed | May 12, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1e980f4819087eb191e13396581 |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:12 a.m.