Triple
T23258017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet in Sierra Leone |
E581923
|
entity |
| Predicate | digitalDivideFactors |
P59416
|
FINISHED |
| Object | income disparities |
—
|
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: income disparities | Statement: [Internet in Sierra Leone, digitalDivideFactors, income disparities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalDivideFactors Context triple: [Internet in Sierra Leone, digitalDivideFactors, income disparities]
-
A.
divisionResultOf
Indicates that one quantity is the numerical result obtained by dividing another quantity by a specified divisor.
-
B.
divisionExample
Indicates an example that illustrates or demonstrates a particular division or partitioning of something.
-
C.
parallelDivision
Indicates that one entity is divided or partitioned in a way that runs parallel to the division or partitioning of another entity.
-
D.
relatedDivide
chosen
Indicates that one entity divides or partitions another entity in a way that is contextually or relationally significant, rather than purely numerical.
-
E.
dividedBy
Indicates that one quantity is separated into a specified number of equal parts or groups by another quantity, representing a division relationship between them.
- 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_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. |
Created at: April 17, 2026, 4:11 p.m.