Triple
T14757438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law on the National Flag of Armenia |
E346765
|
entity |
| Predicate | typeOfSymbolRegulated |
P68335
|
FINISHED |
| Object | state flag |
—
|
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: state flag | Statement: [Law on the National Flag of Armenia, typeOfSymbolRegulated, state flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSymbolRegulated Context triple: [Law on the National Flag of Armenia, typeOfSymbolRegulated, state flag]
-
A.
regulatoryType
Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
-
B.
typeOfAgencyRegulated
Indicates that one entity is the kind or category of agency that is subject to regulation by another entity.
-
C.
regulatesSymbol
Indicates that one entity exercises control or governance over the use, meaning, or presentation of another entity’s symbol.
-
D.
hasRegulatedEntityType
Indicates that an entity is subject to regulation specifically because it belongs to a particular regulated category or type.
-
E.
typeOfResourceRegulated
chosen
Indicates that one entity specifies the kind or category of resource that is subject to regulation by 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.