Triple

T12934483
Position Surface form Disambiguated ID Type / Status
Subject National Jet Systems E309470 entity
Predicate callsign P1565 FINISHED
Object JET SYSTEMS E309470 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: JET SYSTEMS | Statement: [National Jet Systems, callsign, JET SYSTEMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JET SYSTEMS
Context triple: [National Jet Systems, callsign, JET SYSTEMS]
  • A. National Jet Systems chosen
    National Jet Systems is an Australian regional airline and charter operator that flies under the QantasLink brand.
  • B. Sharp Manufacturing Systems Corporation
    Sharp Manufacturing Systems Corporation is a subsidiary of Sharp Corporation that focuses on manufacturing-related systems and solutions within Sharp’s global electronics and technology operations.
  • C. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • D. Jomax Technologies
    Jomax Technologies was the original company name under which GoDaddy, the major domain registrar and web hosting provider, was founded before rebranding.
  • E. Integrated Systems Inc.
    Integrated Systems Inc. was a company known for developing real-time operating systems and embedded software solutions for embedded and telecommunications applications.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc6517481908637781da240b51f completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6d16388190abc848ac67bf1fb9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.