Triple

T29924432
Position Surface form Disambiguated ID Type / Status
Subject Media in Eritrea E760039 entity
Predicate radioOutlet P147832 FINISHED
Object Radio Dimtsi Hafash
Radio Dimtsi Hafash is a major state-run radio broadcaster in Eritrea that transmits news, educational programs, and cultural content to domestic and diaspora audiences.
 E1892217 NE FINISHED

How this triple was built (3 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: Radio Dimtsi Hafash | Statement: [Media in Eritrea, radioOutlet, Radio Dimtsi Hafash]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Radio Dimtsi Hafash
Triple: [Media in Eritrea, radioOutlet, Radio Dimtsi Hafash]
Generated description
Radio Dimtsi Hafash is a major state-run radio broadcaster in Eritrea that transmits news, educational programs, and cultural content to domestic and diaspora audiences.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: radioOutlet
Context triple: [Media in Eritrea, radioOutlet, Radio Dimtsi Hafash]
  • A. radioEmission
    Indicates that one entity emits or produces radio-frequency radiation detectable as radio waves.
  • B. radioAnnouncers
    Indicates that one entity serves as a radio announcer for, or in association with, another entity.
  • C. radioSystem
    Indicates that one entity functions as, or is equipped with, a radio communication system used for transmitting and/or receiving signals.
  • D. radioInterface
    Indicates a relationship where one entity provides or defines the radio communication interface used by another entity for wireless connectivity or control.
  • E. broadcastStation chosen
    Indicates that one entity functions as a broadcast station that transmits content or signals to an audience or network.
  • F. None of above.

Provenance (6 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_69f224631674819080c8d089674f9f4f completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67795fdd4819088f3c7d0de598699 completed May 2, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27141dfe4481908d1db87d450be96a completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714e0a8e48190bcebb7601fc3b4e8 completed June 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a271968eae08190834668e2da3cd703 completed June 8, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:15 p.m.