Triple

T7001191
Position Surface form Disambiguated ID Type / Status
Subject Internet in Poland E162339 entity
Predicate majorISP P35275 FINISHED
Object Vectra
Vectra is one of Poland’s leading telecommunications providers, offering broadband internet, television, and related digital services to households across the country.
 E634647 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: Vectra | Statement: [Internet in Poland, majorISP, Vectra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vectra
Context triple: [Internet in Poland, majorISP, Vectra]
  • A. Vectra A
    Vectra A is the first generation of the Opel Vectra, a mid-size family car produced by the German automaker Opel from the late 1980s to the mid-1990s.
  • B. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • C. Viper
    Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
  • D. Viper
    Viper is a wooden roller coaster at Six Flags Great America known for its classic out-and-back layout and airtime-focused ride experience.
  • E. Haroche
    Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
  • 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: Vectra
Triple: [Internet in Poland, majorISP, Vectra]
Generated description
Vectra is one of Poland’s leading telecommunications providers, offering broadband internet, television, and related digital services to households across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vectra
Target entity description: Vectra is one of Poland’s leading telecommunications providers, offering broadband internet, television, and related digital services to households across the country.
  • A. Vectra A
    Vectra A is the first generation of the Opel Vectra, a mid-size family car produced by the German automaker Opel from the late 1980s to the mid-1990s.
  • B. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • C. Viper
    Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
  • D. Viper
    Viper is a wooden roller coaster at Six Flags Great America known for its classic out-and-back layout and airtime-focused ride experience.
  • E. Haroche
    Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
  • 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_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_69c76a310eb08190a0fc1de2814aea08 completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1d881481908ef5a6614246ca1e completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76be95ecc8190a57ff197f236d434 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:33 p.m.