Triple
T21664091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Georgia |
E534664
|
entity |
| Predicate | additionalSymbol |
P92223
|
FINISHED |
| Object | four smaller red crosses |
—
|
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: four smaller red crosses | Statement: [Flag of Georgia, additionalSymbol, four smaller red crosses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: additionalSymbol Context triple: [Flag of Georgia, additionalSymbol, four smaller red crosses]
-
A.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
symbolElement
chosen
Indicates that one entity is a constituent element or component that makes up the other entity, which is treated as a symbol.
-
C.
symbolIs
Indicates that one entity serves as the symbolic representation or sign of another entity.
-
D.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
-
E.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0a2a58819086db5b5c1c0f3371 |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.