Triple
T29924431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media in Eritrea |
E760039
|
entity |
| Predicate | televisionOutlet |
P169335
|
FINISHED |
| Object | Eri-TV |
—
|
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: Eri-TV | Statement: [Media in Eritrea, televisionOutlet, Eri-TV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionOutlet Context triple: [Media in Eritrea, televisionOutlet, Eri-TV]
-
A.
televisionPlatform
Indicates that one entity serves as the television platform (e.g., service, system, or distribution channel) through which the other entity’s TV content is delivered or accessed.
-
B.
televisionDistributorFor
Indicates that one entity is responsible for distributing another entity’s content or products specifically through television channels or platforms.
-
C.
televisionCategory
Indicates the classification or genre category assigned to a television-related entity (such as a show, channel, or program).
-
D.
televisionActivity
Indicates engaging in activities related to watching, using, or interacting with a television.
-
E.
televisionServiceStatus
Indicates the operational or subscription state of a television service for an entity.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 6:15 p.m.