Triple
T6973635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Rainbow Minerals |
E161657
|
entity |
| Predicate | isDiversifiedMiner |
P14738
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [African Rainbow Minerals, isDiversifiedMiner, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDiversifiedMiner Context triple: [African Rainbow Minerals, isDiversifiedMiner, true]
-
A.
isNonDiversified
Indicates that an entity’s resources, investments, or activities are concentrated in a limited set of areas rather than being spread across a diverse range.
-
B.
diversifiedIn
chosen
Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
-
C.
hasMiningActivity
Indicates that some form of mining operation or extraction activity is occurring at, involving, or associated with the referenced entity.
-
D.
miningMethod
Indicates the technique or process used to extract minerals or resources from the earth.
-
E.
hasMiningCommodity
Indicates that an entity is associated with, produces, or contains a specific mining-related commodity.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3aad108190b19df2d21f5ce168 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.