Triple

T19818103
Position Surface form Disambiguated ID Type / Status
Subject United States of America (pre-Gilead) E476111 entity
Predicate hasCommunicationTechnology P112150 FINISHED
Object television 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: television | Statement: [United States of America (pre-Gilead), hasCommunicationTechnology, television]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommunicationTechnology
Context triple: [United States of America (pre-Gilead), hasCommunicationTechnology, television]
  • A. hasCommunicationInterface
    Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
  • B. hasCommunicationType chosen
    Indicates that one entity uses, supports, or is associated with a particular form or mode of communication.
  • C. hasCommunicationSystems
    Indicates that one entity is equipped with or possesses communication systems used for transmitting or receiving information.
  • D. hasTechnologySystem
    Indicates that one entity possesses, utilizes, or is supported by a particular technology system.
  • E. usesTelecommunications
    Indicates that one entity communicates with or transmits information to another by means of telecommunications technologies or networks.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fac7b481909a19ae0d608e01d9 completed April 20, 2026, 4:31 p.m.
PD Predicate disambiguation batch_69e5305858108190bbbfdb9ba3ab9f80 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:50 p.m.