Triple

T26100488
Position Surface form Disambiguated ID Type / Status
Subject Mexican telephone numbering plan E658384 entity
Predicate previousEmergencyNumber P37309 FINISHED
Object 066 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: 066 | Statement: [Mexican telephone numbering plan, previousEmergencyNumber, 066]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousEmergencyNumber
Context triple: [Mexican telephone numbering plan, previousEmergencyNumber, 066]
  • A. emergencyPhoneNumber chosen
    Indicates that the object is a phone number designated for use in emergencies or urgent situations.
  • B. hasEmergencyTelephone
    Indicates that an entity is equipped with or provides access to an emergency telephone for urgent communication or assistance.
  • C. operatesEmergencyNumber
    Indicates that an entity is responsible for running or managing an emergency telephone number service for another entity or region.
  • D. usesEmergencyNumber
    Indicates that an entity initiates contact or communication by dialing or otherwise employing an officially designated emergency telephone number.
  • E. hasNonEmergencyNumber
    Indicates that an entity is associated with a phone number intended for non-emergency, routine, or informational contact rather than urgent or emergency situations.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f71f8ee0688190bd025f27993452d3 completed May 3, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69f71cc405c08190863565609a4c8499 completed May 3, 2026, 10 a.m.
Created at: April 26, 2026, 7:54 p.m.