Triple

T15851686
Position Surface form Disambiguated ID Type / Status
Subject Short Skyvan E384354 entity
Predicate marketedAs P1395 FINISHED
Object Skyvan 3M E384354 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: Skyvan 3M | Statement: [Short Skyvan, marketedAs, Skyvan 3M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyvan 3M
Context triple: [Short Skyvan, marketedAs, Skyvan 3M]
  • A. Short Skyvan chosen
    The Short Skyvan is a British twin-engine, boxy-fuselage utility aircraft known for its excellent short takeoff and landing performance and use in cargo, passenger, and skydiving operations.
  • B. Skymaster
    Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
  • C. Stinson Reliant
    The Stinson Reliant is a 1930s American high-wing, single-engine light utility aircraft known for its distinctive gull-wing design and use in both civilian and military roles.
  • D. Sully Wing
    Sully Wing is one of the main historic wings of the Louvre Museum in Paris, housing collections such as ancient Near Eastern antiquities and French paintings.
  • E. Aerostar
    Aerostar is a Romanian defense company known for developing and producing military aerospace and land-based weapons systems.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cacf5f08190a0dfe22018ed7905 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.