Triple

T22808153
Position Surface form Disambiguated ID Type / Status
Subject Moldovan Internet E564594 entity
Predicate hasRegulatoryArea P63323 FINISHED
Object telecommunications 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: telecommunications | Statement: [Moldovan Internet, hasRegulatoryArea, telecommunications]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegulatoryArea
Context triple: [Moldovan Internet, hasRegulatoryArea, telecommunications]
  • A. regulatoryDomain
    Indicates that one entity defines or governs the rules, policies, or constraints under which another entity must operate.
  • B. hasRegulatedBy
    Indicates that one entity is subject to control, governance, or rules imposed by another entity.
  • C. regulatesArea
    Indicates that one entity exercises control or governance over the spatial extent, scope, or domain of another entity.
  • D. regulatedArea chosen
    Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
  • E. hasRegulatoryMarket
    Indicates that an entity is subject to, or operates within, a specific regulatory framework or market oversight regime.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5e0b088190ad0b9cc0d5aa1d96 completed April 29, 2026, 3:39 a.m.
PD Predicate disambiguation batch_69eed2cb30f481909566369f515f6eff completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:32 p.m.