Triple

T18424627
Position Surface form Disambiguated ID Type / Status
Subject Boeing–Saab E442103 entity
Predicate aircraftName P32357 FINISHED
Object T-7A Red Hawk NE NERFINISHED

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: T-7A Red Hawk | Statement: [Boeing–Saab, aircraftName, T-7A Red Hawk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T-7A Red Hawk
Context triple: [Boeing–Saab, aircraftName, T-7A Red Hawk]
  • A. Boeing T-7A Red Hawk chosen
    The Boeing T-7A Red Hawk is a modern U.S. Air Force advanced jet trainer designed to prepare pilots for fifth-generation fighters like the F-22 and F-35.
  • B. T-38 Talon
    The T-38 Talon is a twin-engine supersonic jet trainer aircraft widely used by air forces, particularly the U.S. Air Force, for advanced pilot training.
  • C. T-1A Jayhawk
    The T-1A Jayhawk is a twin-engine jet trainer used by the U.S. Air Force to prepare pilots for airlift and tanker aircraft operations.
  • D. T-2B Buckeye
    The T-2B Buckeye is a later, improved production version of the U.S. Navy’s T-2 Buckeye jet trainer aircraft, used primarily for advanced pilot training.
  • E. Cessna T-37 Tweet
    The Cessna T-37 Tweet is a small, twin‑engine jet trainer aircraft used extensively by the U.S. Air Force and several allied nations for primary pilot training during the Cold War era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51b1149788190ad7c453547a6e07c completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 10:47 a.m.