Triple
T6121093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Zimbabwe |
E136483
|
entity |
| Predicate | wavyLinesSymbolize |
P26865
|
FINISHED |
| Object | water resources |
—
|
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: water resources | Statement: [Coat of arms of Zimbabwe, wavyLinesSymbolize, water resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wavyLinesSymbolize Context triple: [Coat of arms of Zimbabwe, wavyLinesSymbolize, water resources]
-
A.
lineSymbol
Indicates that one entity is used as a line-style or line-representation symbol for another entity.
-
B.
stripesSymbolize
chosen
Indicates that stripes are used to represent, signify, or stand for something else in a symbolic way.
-
C.
waveColor
Indicates the color associated with a particular wave (e.g., light or electromagnetic wave) in the described context.
-
D.
mapColorLine
Indicates a relationship where a specific color is assigned to or associated with a particular line (such as a route, path, or boundary) on a map.
-
E.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bf16ad48190958cc46510e02bd3 |
completed | March 22, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.