Triple

T3314090
Position Surface form Disambiguated ID Type / Status
Subject ITP Aero E69638 entity
Predicate hasSubsidiary P254 FINISHED
Object ITP Aero Poland E69638 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: ITP Aero Poland | Statement: [ITP Aero, hasSubsidiary, ITP Aero Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ITP Aero Poland
Context triple: [ITP Aero, hasSubsidiary, ITP Aero Poland]
  • A. ITP Aero chosen
    ITP Aero is a Spanish aerospace company specializing in the design, manufacturing, and maintenance of aircraft and gas turbine engines for civil and defense markets.
  • B. Polish Aviation Group
    Polish Aviation Group is a state-owned Polish aviation holding company that oversees LOT Polish Airlines and related aviation businesses.
  • C. LOT Polish Airlines
    LOT Polish Airlines is the flag carrier of Poland, operating an extensive network of domestic and international flights across Europe, Asia, and North America.
  • D. Panavia Aircraft GmbH
    Panavia Aircraft GmbH is a multinational aerospace consortium formed by the UK, Germany, and Italy to design, develop, and produce the Panavia Tornado combat aircraft.
  • E. Avio Aero
    Avio Aero is an Italian aerospace company specializing in the design, production, and maintenance of aircraft engines and gas turbines for civil and military 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb10f97b48190afb9c3864faf8cb2 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f760348190abd8854c369cb41b completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.