Triple

T11158001
Position Surface form Disambiguated ID Type / Status
Subject RPB E263960 entity
Predicate serves P98 FINISHED
Object Wingo E52199 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: Wingo | Statement: [RPB, serves, Wingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wingo
Context triple: [RPB, serves, Wingo]
  • A. Wingo chosen
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • B. Wally the Pilot
    Wally the Pilot is the costumed aviator mascot who represents the University of Portland’s athletic teams, the Portland Pilots.
  • C. Piper
    Piper is a central character in the science fiction television series "Emergence," known for her mysterious origins and unusual abilities that drive much of the show's plot.
  • D. Piper
    Piper is a feminine given name best known today through its association with author Piper Kerman and her memoir "Orange Is the New Black."
  • E. Gooney Bird
    The Gooney Bird is the affectionate nickname for the Douglas C-47 Skytrain, a rugged and widely used military transport aircraft from World War II.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4636268d0819088873f2062115506 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.