Triple
T22617893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Ghana |
E558195
|
entity |
| Predicate | cocoaTreeRepresents |
P39361
|
FINISHED |
| Object | agricultural wealth |
—
|
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: agricultural wealth | Statement: [coat of arms of Ghana, cocoaTreeRepresents, agricultural wealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cocoaTreeRepresents Context triple: [coat of arms of Ghana, cocoaTreeRepresents, agricultural wealth]
-
A.
commonTreeType
Indicates that two or more entities share the same type or classification of tree.
-
B.
tree
Indicates that one entity is hierarchically organized as a tree structure whose nodes and edges define parent–child relationships among elements.
-
C.
boLeavesRepresent
Indicates that one entity’s leaves serve as a symbolic or visual representation of another entity.
-
D.
treeVigor
Indicates the overall health, strength, and growth potential of a tree based on its physiological condition and environmental factors.
-
E.
componentRepresents
chosen
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167ef7a148190870334af9c8b79a4 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:59 p.m.