Triple
T29924432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media in Eritrea |
E760039
|
entity |
| Predicate | radioOutlet |
P147832
|
FINISHED |
| Object | Radio Dimtsi Hafash |
—
|
NE NERFINISHED |
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: Radio Dimtsi Hafash | Statement: [Media in Eritrea, radioOutlet, Radio Dimtsi Hafash]
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 (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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67795fdd4819088f3c7d0de598699 |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:15 p.m.