Triple

T7001194
Position Surface form Disambiguated ID Type / Status
Subject Internet in Poland E162339 entity
Predicate hasBackboneOperator P2565 FINISHED
Object Orange Polska E634642 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: Orange Polska | Statement: [Internet in Poland, hasBackboneOperator, Orange Polska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Polska
Context triple: [Internet in Poland, hasBackboneOperator, Orange Polska]
  • A. Orange Polska chosen
    Orange Polska is one of Poland’s largest telecommunications companies, providing nationwide fixed and mobile phone, internet, and TV services.
  • B. UPC Polska
    UPC Polska is a leading Polish telecommunications company that provides broadband internet, digital television, and telephone services to households and businesses across Poland.
  • C. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • D. ZTM Warsaw
    ZTM Warsaw is the public transport authority responsible for organizing and managing Warsaw’s integrated network of buses, trams, metro, and suburban rail services.
  • E. Paczków
    Paczków is a historic town in southwestern Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d144648190b7e6558246b013e3 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775573c84819081f34ab2b14b700a completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:33 p.m.