Triple

T16575894
Position Surface form Disambiguated ID Type / Status
Subject Nuuk Airport E402706 entity
Predicate hasAirline P35742 FINISHED
Object Air Greenland E1221938 NE FINISHED

How this triple was built (2 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: Air Greenland | Statement: [Nuuk Airport, hasAirline, Air Greenland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Greenland
Context triple: [Nuuk Airport, hasAirline, Air Greenland]
  • A. Air Greenland chosen
    Air Greenland is the flag carrier airline of Greenland, providing domestic and international passenger and cargo services across the Arctic region.
  • B. Alaska Horizon
    Alaska Horizon is the regional brand under which Horizon Air operates feeder and short-haul flights for Alaska Airlines.
  • C. IAT Greenland
    IAT Greenland is the Greenlandic segment of the International Appalachian Trail, offering long-distance hiking routes through the island’s rugged Arctic landscapes.
  • D. Odd Grenland
    Odd Grenland is a Norwegian professional football club based in Skien, known for competing in the country’s top divisions and developing notable Norwegian players.
  • E. Spanish Greenland
    Spanish Greenland is a hypothetical or alternate-history territory imagined as a Greenlandic possession under the rule of the Spanish Crown.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595cb65481909be62a52deff3d44 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007595cfd08190bae54d29427a1d3c completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.