Triple
T23258001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet in Sierra Leone |
E581923
|
entity |
| Predicate | mobilePenetrationTrend |
P151567
|
FINISHED |
| Object | growing mobile broadband subscriptions |
—
|
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: growing mobile broadband subscriptions | Statement: [Internet in Sierra Leone, mobilePenetrationTrend, growing mobile broadband subscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobilePenetrationTrend Context triple: [Internet in Sierra Leone, mobilePenetrationTrend, growing mobile broadband subscriptions]
-
A.
technologyTrend
Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
-
B.
internetPenetration
Indicates the extent to which access to and use of the internet is available among a given population or within a specific area.
-
C.
technologyUse
Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
-
D.
platformUsage
Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
-
E.
technologyUsedBy
Indicates that a particular technology is employed or utilized by a specified 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c710c48190aff03d210642a043 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:11 p.m.