Triple

T11255699
Position Surface form Disambiguated ID Type / Status
Subject Polish Aviation Group E266430 entity
Predicate hasSubsidiary P254 FINISHED
Object LS Airport Services E914590 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 Airport Services | Statement: [Polish Aviation Group, hasSubsidiary, LS Airport Services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LS Airport Services
Context triple: [Polish Aviation Group, hasSubsidiary, LS Airport Services]
  • A. LS Airport Services chosen
    LS Airport Services is a Polish ground handling and airport services company operating at multiple airports in Poland.
  • B. ANA Airport Services Co., Ltd.
    ANA Airport Services Co., Ltd. is a Japanese company that provides ground handling and airport support services, primarily for All Nippon Airways and related airlines.
  • C. MSN Airport
    MSN Airport is the primary commercial airport serving Madison and the surrounding Dane County region in Wisconsin, United States.
  • D. AGS Airports
    AGS Airports is a UK-based airport management company that owns and operates several regional airports in Scotland and England.
  • E. Airport Express
    Airport Express is a high-speed rail service in Hong Kong that links the city center with Hong Kong International Airport.
  • 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.