Triple

T3552756
Position Surface form Disambiguated ID Type / Status
Subject KLM Cityhopper E75146 entity
Predicate formerFleetType P50555 FINISHED
Object Saab 2000 E86851 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: Saab 2000 | Statement: [KLM Cityhopper, formerFleetType, Saab 2000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saab 2000
Context triple: [KLM Cityhopper, formerFleetType, Saab 2000]
  • A. Saab 2000 chosen
    The Saab 2000 is a high-speed twin‑engine turboprop regional airliner developed in the 1990s, known for its fast cruise performance and efficient short- to medium-haul operations.
  • B. Saab 340
    The Saab 340 is a twin‑engine turboprop regional airliner widely used for short-haul passenger services around the world.
  • C. Saab 105
    The Saab 105 is a Swedish twin-engine jet trainer and light attack aircraft introduced in the 1960s and used primarily by the Swedish Air Force.
  • D. Saab 18
    The Saab 18 was a Swedish twin-engine bomber and reconnaissance aircraft used by the Swedish Air Force during and after World War II.
  • E. Saab 37 Viggen
    The Saab 37 Viggen is a Swedish multirole combat aircraft introduced in the 1970s, known for its distinctive canard-delta design and short takeoff and landing capability for dispersed road-base operations.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05394888190b59fafda97b49beb completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9218448190ae432ae74c0a6916 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.