Triple
T37145860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mai-Mai Kata Katanga |
E920236
|
entity |
| Predicate | resourceContext |
P32691
|
FINISHED |
| Object | copper-rich Katanga region |
—
|
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: copper-rich Katanga region | Statement: [Mai-Mai Kata Katanga, resourceContext, copper-rich Katanga region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resourceContext Context triple: [Mai-Mai Kata Katanga, resourceContext, copper-rich Katanga region]
-
A.
regionContext
chosen
Indicates the broader geographic or spatial setting within which an entity, event, or relationship is situated or interpreted.
-
B.
resourceSystem
Indicates a relationship where one entity functions as or belongs to a system that manages, allocates, or organizes resources for another entity or context.
-
C.
contextType
Indicates the type or category of contextual information associated with an entity or event.
-
D.
registryContext
Indicates the contextual scope or environment (such as system, domain, or configuration space) within which a registry entry, operation, or relationship is defined or interpreted.
-
E.
supplyContext
Indicates that one entity provides relevant background information or situational details that clarify or frame another entity, action, or statement.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.