Triple

T4552741
Position Surface form Disambiguated ID Type / Status
Subject Elsbethen E120403 entity
Predicate hasTelephoneSystem P53890 FINISHED
Object Austrian telephone numbering plan LITERAL 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: Austrian telephone numbering plan | Statement: [Elsbethen, hasTelephoneSystem, Austrian telephone numbering plan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTelephoneSystem
Context triple: [Elsbethen, hasTelephoneSystem, Austrian telephone numbering plan]
  • A. hasTelephoneService
    Indicates that a subject is provided with or connected to telephone service.
  • B. telecommunicationSystem
    Indicates a relationship where communication between entities is carried out over a distance using electronic or digital transmission systems.
  • C. telephoneStandard
    Indicates that there is a relationship involving the use of a particular telephone standard or protocol for communication between entities.
  • D. telephoneNumberingPlan chosen
    Indicates a relationship where a telephone numbering plan defines or governs how telephone numbers are structured, assigned, or managed for a given telecommunication context.
  • E. hasCellService
    Indicates that a location, device, or area is within range of a cellular network and can access mobile phone or data services.
  • F. None of above.

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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd581160e08190b715a8ce5c3e6c9b completed March 20, 2026, 2:22 p.m.
PD Predicate disambiguation batch_69bd5223423c81908317351b58cff5f5 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:09 p.m.