Triple

T22514890
Position Surface form Disambiguated ID Type / Status
Subject Italian telephone numbering plan E556614 entity
Predicate serviceNumbersStartWith P148675 FINISHED
Object 1 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: 1 | Statement: [Italian telephone numbering plan, serviceNumbersStartWith, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceNumbersStartWith
Context triple: [Italian telephone numbering plan, serviceNumbersStartWith, 1]
  • A. serviceNumberApproximate
    Indicates that one entity’s service number is approximately equal to, but not necessarily exactly the same as, another entity’s service number.
  • B. serviceNumbering
    Indicates that a specific service is assigned or associated with a particular identifying number or code.
  • C. serviceNumberOrEquivalent
    Indicates that one entity specifies the service number or an equivalent identifying code associated with another entity.
  • D. serviceNumber
    Indicates a unique identifying number assigned to a service, used to reference, track, or distinguish that service from others.
  • E. serviceNumberLabel
    Indicates that a label or identifier is assigned to denote the service number associated with an entity.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69ee8841e9cc81908d23b34215e3be71 completed April 26, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:50 p.m.