Triple
T28514233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of Amhara Region |
E721570
|
entity |
| Predicate | governmentSymbolType |
P11403
|
FINISHED |
| Object | emblem |
—
|
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: emblem | Statement: [Emblem of Amhara Region, governmentSymbolType, emblem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentSymbolType Context triple: [Emblem of Amhara Region, governmentSymbolType, emblem]
-
A.
governmentSymbol
chosen
Indicates that something serves as an official emblem, sign, or representation of a government.
-
B.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
C.
governmentalUnitType
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
-
D.
targetGovernmentType
Indicates the form or system of governance that an entity is directed toward, associated with, or intended to influence.
-
E.
governmentTypeServed
Indicates the type of government that an entity serves, is affiliated with, or operates under in its role or function.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: April 28, 2026, 3:15 a.m.