Triple
T6087253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasolburg |
E135668
|
entity |
| Predicate | hasIndustrialCompany |
P50571
|
FINISHED |
| Object | Sasol Limited |
E530038
|
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: Sasol Limited | Statement: [Sasolburg, hasIndustrialCompany, Sasol Limited]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasol Limited Context triple: [Sasolburg, hasIndustrialCompany, Sasol Limited]
-
A.
Sasol
chosen
Sasol is a South African integrated energy and chemical company known for its large-scale coal-to-liquids and gas-to-liquids fuel production.
-
B.
BHP Group
BHP Group is one of the world’s largest diversified mining and resources companies, producing commodities such as iron ore, copper, coal, and nickel.
-
C.
Anglo American plc
Anglo American plc is a major multinational mining company headquartered in London, known for producing commodities such as diamonds, copper, platinum, and iron ore.
-
D.
Glencore
Glencore is a multinational commodity trading and mining company that operates extensive resource extraction and processing assets worldwide.
-
E.
Royal Dutch Shell
Royal Dutch Shell is a major British-Dutch multinational oil and gas company and one of the largest energy corporations in the world.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1358175608190b06bbbc72c6d92c2 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:12 p.m.