Triple

T12207788
Position Surface form Disambiguated ID Type / Status
Subject NET Journal E290878 entity
Predicate broadcastSector P103795 FINISHED
Object non-commercial 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: non-commercial television | Statement: [NET Journal, broadcastSector, non-commercial television]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: broadcastSector
Context triple: [NET Journal, broadcastSector, non-commercial television]
  • A. broadcastRegion
    Indicates the geographic area or market in which content is transmitted or made available for broadcast.
  • B. broadcastBand
    Indicates that something is transmitted over a particular broadcast frequency band (e.g., AM, FM, VHF, UHF) for distribution to receivers.
  • C. broadcastType
    Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
  • D. broadcastFor
    Indicates that one entity transmits or disseminates content, information, or a signal on behalf of, or in service of, another entity.
  • E. broadcastVia
    Indicates that an action, message, or content is transmitted or disseminated through a specified medium, channel, or platform.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d920e312708190b4aede2e21f5f697 completed April 10, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69d91c3d669c81908eea7ad61122d275 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d920c3dc9881908c396a4ab34f4836 completed April 10, 2026, 4:09 p.m.
Created at: April 8, 2026, 9:51 p.m.