Triple

T15728355
Position Surface form Disambiguated ID Type / Status
Subject Sunclass Airlines E381275 entity
Predicate callsign P1565 FINISHED
Object VIKING
VIKING is the radio callsign used by Sunclass Airlines for its flight operations and air traffic communications.
 E1173415 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: VIKING | Statement: [Sunclass Airlines, callsign, VIKING]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VIKING
Context triple: [Sunclass Airlines, callsign, VIKING]
  • A. Viking
    "Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
  • B. Viking
    Viking is a Norwegian professional football club based in Stavanger, known for competing in the country’s top division and having a rich domestic history.
  • C. Viking
    Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
  • D. Viking
    Viking is a tire brand owned by Continental AG, known for producing reliable and affordable tires for passenger cars and light commercial vehicles.
  • E. Viking
    The Viking is a Norse seafaring warrior figure commonly used as a symbol of strength and bravery, including as a school mascot.
  • 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: VIKING
Triple: [Sunclass Airlines, callsign, VIKING]
Generated description
VIKING is the radio callsign used by Sunclass Airlines for its flight operations and air traffic communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VIKING
Target entity description: VIKING is the radio callsign used by Sunclass Airlines for its flight operations and air traffic communications.
  • A. Viking
    "Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
  • B. Viking
    Viking is a Norwegian professional football club based in Stavanger, known for competing in the country’s top division and having a rich domestic history.
  • C. Viking
    Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
  • D. Viking
    Viking is a tire brand owned by Continental AG, known for producing reliable and affordable tires for passenger cars and light commercial vehicles.
  • E. Viking
    The Viking is a Norse seafaring warrior figure commonly used as a symbol of strength and bravery, including as a school mascot.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82faa5508190a28e2a224d4a4a06 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff8388b3588190ae55c123bb19cb2c completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff84125e808190a4d465d9effad639 completed May 9, 2026, 6:59 p.m.
Created at: April 10, 2026, 4:46 a.m.