Triple
T8246728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartz Media |
E192867
|
entity |
| Predicate | hasPlatform |
P843
|
FINISHED |
| Object | Quartz Africa |
E37323
|
NE 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: Quartz Africa | Statement: [Quartz Media, hasPlatform, Quartz Africa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quartz Africa Context triple: [Quartz Media, hasPlatform, Quartz Africa]
-
A.
Quartz Africa
chosen
Quartz Africa is a regional edition of the digital news outlet Quartz that focuses on business, technology, and innovation stories from across the African continent.
-
B.
Ngazidja
Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
-
C.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
D.
Pays Noir
Pays Noir is an industrial coal-mining region in Belgium centered around Charleroi, historically known for its heavy industry and blackened landscapes.
-
E.
Saint-Affrique
Saint-Affrique is a small historic town in southern France known for its rural charm and location in the Aveyron department.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb787414508190a08cf47d1545ce50 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd352b1a288190bd13ef84bef7fa1c |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:48 p.m.