Triple

T17772727
Position Surface form Disambiguated ID Type / Status
Subject SkyUp Airlines E443681 entity
Predicate callsign P1565 FINISHED
Object SKYUP
SKYUP is the callsign of SkyUp Airlines, a Ukrainian low-cost carrier operating domestic and international flights.
E1287513 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: SKYUP | Statement: [SkyUp Airlines, callsign, SKYUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKYUP
Context triple: [SkyUp Airlines, callsign, SKYUP]
  • A. SKY
    SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
  • B. SKY
    SKY is the Amtrak station code for Sandusky station in Sandusky, Ohio, used for passenger rail ticketing and scheduling.
  • C. Sky 360
    Sky 360 is a revolving restaurant located atop the Calgary Tower, offering panoramic views of Calgary and its surroundings.
  • D. Sky Fly
    Sky Fly is an aircraft model produced by Skyforce, likely designed as part of their line of light or sport aviation planes.
  • E. SKYPASS
    SKYPASS is Korean Air’s loyalty program that rewards frequent flyers with miles redeemable for flights, upgrades, and other travel benefits.
  • 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: SKYUP
Triple: [SkyUp Airlines, callsign, SKYUP]
Generated description
SKYUP is the callsign of SkyUp Airlines, a Ukrainian low-cost carrier operating domestic and international flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SKYUP
Target entity description: SKYUP is the callsign of SkyUp Airlines, a Ukrainian low-cost carrier operating domestic and international flights.
  • A. SKY
    SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
  • B. SKY
    SKY is the Amtrak station code for Sandusky station in Sandusky, Ohio, used for passenger rail ticketing and scheduling.
  • C. Sky 360
    Sky 360 is a revolving restaurant located atop the Calgary Tower, offering panoramic views of Calgary and its surroundings.
  • D. Sky Fly
    Sky Fly is an aircraft model produced by Skyforce, likely designed as part of their line of light or sport aviation planes.
  • E. SKYPASS
    SKYPASS is Korean Air’s loyalty program that rewards frequent flyers with miles redeemable for flights, upgrades, and other travel benefits.
  • 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.