Triple
T37907597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minas-Rio |
E945596
|
entity |
| Predicate | beneficiationProcess |
P81466
|
FINISHED |
| Object | wet beneficiation |
—
|
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: wet beneficiation | Statement: [Minas-Rio, beneficiationProcess, wet beneficiation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beneficiationProcess Context triple: [Minas-Rio, beneficiationProcess, wet beneficiation]
-
A.
separationProcess
chosen
Indicates a process in which components of a mixture or system are divided or isolated from one another based on differing properties or conditions.
-
B.
receivesIronOreFrom
Indicates that one entity obtains or is supplied with iron ore from another entity.
-
C.
typeOfMineralProduced
Indicates that a specified mineral is produced or extracted as a result of a particular process, operation, or source.
-
D.
grainPolishing
Indicates the process of smoothing or refining the surface of a grain or granular material, typically by abrasion or buffing, to improve its texture, appearance, or performance.
-
E.
miningMethod
Indicates the technique or process used to extract minerals or resources from the earth.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.