Triple

T9029135
Position Surface form Disambiguated ID Type / Status
Subject GTE Hawaiian Tel E216123 entity
Predicate telecommunicationsStandard P29523 FINISHED
Object landline telephone 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: landline telephone | Statement: [GTE Hawaiian Tel, telecommunicationsStandard, landline telephone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: telecommunicationsStandard
Context triple: [GTE Hawaiian Tel, telecommunicationsStandard, landline telephone]
  • A. telecommunicationSystem
    Indicates a relationship where communication between entities is carried out over a distance using electronic or digital transmission systems.
  • B. telephoneStandard chosen
    Indicates that there is a relationship involving the use of a particular telephone standard or protocol for communication between entities.
  • C. usedInTelecommunications
    Indicates that something is employed as a component, tool, or method within telecommunications systems or processes.
  • D. transmissionStandard
    Indicates the communication or signal protocol used to transmit data or content between systems or devices.
  • E. telecommunicationsProvider
    Indicates that one entity provides telecommunications services (such as phone, internet, or data connectivity) to another entity.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69cc5ee132f08190940749c7c522e4c1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:08 p.m.