Triple
T4508982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congo Free State |
E102002
|
entity |
| Predicate | exploitedResource |
P10922
|
FINISHED |
| Object | rubber |
—
|
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: rubber | Statement: [Congo Free State, exploitedResource, rubber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploitedResource Context triple: [Congo Free State, exploitedResource, rubber]
-
A.
exploits
Indicates that one entity unfairly or selfishly uses another entity or resource for its own advantage or benefit.
-
B.
usedResource
Indicates that an entity has utilized or consumed a particular resource in performing an action or achieving a result.
-
C.
naturalResources
Indicates that one entity possesses, contains, or is a source of natural resources for another entity.
-
D.
resourceExtracted
chosen
Indicates that a resource has been obtained or taken from a source entity, typically through an extraction process.
-
E.
hasMarineResource
Indicates that one entity possesses, contains, or is associated with a marine (ocean or sea-based) resource in relation to another entity.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd571138b88190b68bbfc4300aaf9d |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.