Triple
T15141735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Botswana |
E361699
|
entity |
| Predicate | cogwheelsSymbolize |
P129
|
FINISHED |
| Object | industry |
—
|
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: industry | Statement: [Coat of arms of Botswana, cogwheelsSymbolize, industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cogwheelsSymbolize Context triple: [Coat of arms of Botswana, cogwheelsSymbolize, industry]
-
A.
symbolizedIn
Indicates that one entity serves as a symbol or representation of another entity.
-
B.
coordinateSymbols
Indicates a relationship where one symbol is aligned or matched with another symbol in a coordinated or corresponding way.
-
C.
towersSymbolize
Indicates that towers serve as symbols representing particular ideas, values, or concepts.
-
D.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
E.
mainCoordinateSymbol
Indicates that one symbol serves as the primary coordinate reference or anchor for positioning or aligning other related elements.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.