Triple

T7497552
Position Surface form Disambiguated ID Type / Status
Subject Wings E177171 entity
Predicate featuresOrganization P629 FINISHED
Object Sandpiper Air E669040 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: Sandpiper Air | Statement: [Wings, featuresOrganization, Sandpiper Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandpiper Air
Context triple: [Wings, featuresOrganization, Sandpiper Air]
  • A. Sandpiper Air chosen
    Sandpiper Air is the small Nantucket-based commuter airline featured in the American sitcom "Wings."
  • B. Sunrise Airways
    Sunrise Airways is a Haitian airline that operates regional passenger flights throughout the Caribbean, with its main base in Port-au-Prince.
  • C. Northern Air
    Northern Air is a regional airline based in Fiji that operates domestic flights connecting smaller islands and remote communities.
  • D. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • E. Sunclass Airlines
    Sunclass Airlines is a Danish leisure airline that primarily operates charter flights from Scandinavia to popular holiday destinations in Europe and beyond.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5963d98819098275b161848d2d4 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c846043ed48190b6fa45ed0e70b4d3 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:44 p.m.