Triple

T22514891
Position Surface form Disambiguated ID Type / Status
Subject Italian telephone numbering plan E556614 entity
Predicate tollFreeNumbersStartWith P110651 FINISHED
Object 800 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: 800 | Statement: [Italian telephone numbering plan, tollFreeNumbersStartWith, 800]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tollFreeNumbersStartWith
Context triple: [Italian telephone numbering plan, tollFreeNumbersStartWith, 800]
  • A. tollFreeBridgedWith
    Indicates that a toll-free communication channel is connected or linked via a bridging mechanism to another network, system, or call path.
  • B. tollFreePrefixExample chosen
    Indicates that the subject is an example of a telephone number prefix that designates a toll-free calling number.
  • C. nationalPrefixForDomesticCalls
    Indicates the dialing prefix that must be used when making domestic telephone calls within a given country or numbering plan.
  • D. hasTollFreeSection
    Indicates that a route, road, or transportation facility includes at least one segment where no toll is charged for use.
  • E. callingCode
    Indicates the telephone country or area code associated with an entity for making phone calls.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2c3098819098a553133cc9515b completed April 29, 2026, 1:26 a.m.
PD Predicate disambiguation batch_69ee625e3b408190a60c759fb0b28fe2 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:50 p.m.