Triple
T9676272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of Italy |
E234160
|
entity |
| Predicate | cogwheelSymbolizes |
P129
|
FINISHED |
| Object | labor |
—
|
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: labor | Statement: [Emblem of Italy, cogwheelSymbolizes, labor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cogwheelSymbolizes Context triple: [Emblem of Italy, cogwheelSymbolizes, labor]
-
A.
cogwheelRepresents
Indicates that one entity is used as a cogwheel-like symbol or icon to visually represent another entity, typically conveying concepts like mechanism, settings, or technical functionality.
-
B.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
C.
wheelName
Indicates that an entity has or is associated with a specific name assigned to a wheel.
-
D.
inceptionAsSymbol
Indicates that one entity begins to function or be recognized as a symbolic representation or emblem of another entity.
-
E.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6ed62081908863f2ea0e98961a |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.