Triple

T15145528
Position Surface form Disambiguated ID Type / Status
Subject Orange S.A. E361793 entity
Predicate subsidiary P258 FINISHED
Object Orange Slovensko
Orange Slovensko is a major telecommunications operator in Slovakia providing mobile, internet, and related digital services.
E1140484 NE FINISHED

How this triple was built (4 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 Slovensko | Statement: [Orange S.A., subsidiary, Orange Slovensko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Slovensko
Context triple: [Orange S.A., subsidiary, Orange Slovensko]
  • A. Slovan
    Slovan is a Slovenian sports club best known for its basketball team, which has featured players such as Saša Dončić.
  • B. Slovak Paradise
    Slovak Paradise is a national park in eastern Slovakia renowned for its deep gorges, waterfalls, and extensive network of hiking trails and ladders.
  • C. Mladá
    Mladá is a locality in the Czech Republic known primarily as a former military area that now forms an administrative part of the town of Milovice.
  • D. Malacky
    Malacky is a small town in western Slovakia known for its historical center and location near the capital, Bratislava.
  • E. Ostredok
    Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orange Slovensko
Triple: [Orange S.A., subsidiary, Orange Slovensko]
Generated description
Orange Slovensko is a major telecommunications operator in Slovakia providing mobile, internet, and related digital services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orange Slovensko
Target entity description: Orange Slovensko is a major telecommunications operator in Slovakia providing mobile, internet, and related digital services.
  • A. Slovan
    Slovan is a Slovenian sports club best known for its basketball team, which has featured players such as Saša Dončić.
  • B. Slovak Paradise
    Slovak Paradise is a national park in eastern Slovakia renowned for its deep gorges, waterfalls, and extensive network of hiking trails and ladders.
  • C. Mladá
    Mladá is a locality in the Czech Republic known primarily as a former military area that now forms an administrative part of the town of Milovice.
  • D. Malacky
    Malacky is a small town in western Slovakia known for its historical center and location near the capital, Bratislava.
  • E. Ostredok
    Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
  • F. None of above. chosen

Provenance (5 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec08c37dc8190a59289e4ee76beab completed May 9, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fec10cd2d48190ba96885ca604a853 completed May 9, 2026, 5:07 a.m.
Created at: April 10, 2026, 3:07 a.m.