Triple

T28394010
Position Surface form Disambiguated ID Type / Status
Subject South African telephone numbering plan E719233 entity
Predicate mobileEmergencyNumber P37309 FINISHED
Object 112 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: 112 | Statement: [South African telephone numbering plan, mobileEmergencyNumber, 112]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mobileEmergencyNumber
Context triple: [South African telephone numbering plan, mobileEmergencyNumber, 112]
  • A. emergencyPhoneNumber chosen
    Indicates that the object is a phone number designated for use in emergencies or urgent situations.
  • B. operatesEmergencyNumber
    Indicates that an entity is responsible for running or managing an emergency telephone number service for another entity or region.
  • C. hasEmergencyTelephone
    Indicates that an entity is equipped with or provides access to an emergency telephone for urgent communication or assistance.
  • D. usesEmergencyNumber
    Indicates that an entity initiates contact or communication by dialing or otherwise employing an officially designated emergency telephone number.
  • E. telephoneDialingCodeSystem
    Indicates the telephone numbering or dialing code scheme used to place calls within or to a particular region, network, or service.
  • 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_69eff6efd1b08190ae3cefd4f11388a2 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64e37f7fc819083809149b6661e3c completed May 2, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69f64caede108190a35cc7cbfead866f completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 1:15 a.m.