Triple
T24598355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of Vanuatu |
E608744
|
entity |
| Predicate | boarTuskSymbolism |
P66787
|
FINISHED |
| Object | 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: wealth | Statement: [Emblem of Vanuatu, boarTuskSymbolism, wealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boarTuskSymbolism Context triple: [Emblem of Vanuatu, boarTuskSymbolism, wealth]
-
A.
treeSymbolism
Indicates the use of a tree as a symbolic representation of an idea, quality, or relationship between entities.
-
B.
animalSymbol
Indicates that one entity serves as a symbolic representation or emblem of the other in the form of an animal.
-
C.
typicalMaterialSymbolism
chosen
Indicates that a material is commonly or characteristically used to symbolize or represent something in a given cultural or contextual setting.
-
D.
fieldSymbolism
Indicates the symbolic meaning or thematic associations that a field (as a setting, area, or domain) conveys within a given context.
-
E.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.