Triple

T11255700
Position Surface form Disambiguated ID Type / Status
Subject Polish Aviation Group E266430 entity
Predicate hasSubsidiary P254 FINISHED
Object LS Technics E914591 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: LS Technics | Statement: [Polish Aviation Group, hasSubsidiary, LS Technics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LS Technics
Context triple: [Polish Aviation Group, hasSubsidiary, LS Technics]
  • A. LS Technics chosen
    LS Technics is a Polish aircraft maintenance and engineering company providing MRO (maintenance, repair, and overhaul) services for airlines and aviation operators.
  • B. S7 Technics
    S7 Technics is a Russian aircraft maintenance, repair, and overhaul (MRO) company that services both S7 Airlines and other carriers.
  • C. Technics
    Technics is a Japanese audio equipment brand best known for its high-fidelity turntables and sound systems, particularly popular among audiophiles and DJs.
  • D. Imtech
    Imtech was a European technical services provider specializing in electrical engineering, ICT, and mechanical services for buildings and industry.
  • E. T-Engineering
    T-Engineering is an engineering firm known for its role in designing major infrastructure projects, including the Yavuz Sultan Selim Bridge in Turkey.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9346f4c8190b29c2cf3a29cd1d1 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f40019588190864c59e8451e80bd completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:31 p.m.