Triple
T16808492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal arms of England within a bordure compony argent and azure |
E408540
|
entity |
| Predicate | bordureType |
P124934
|
FINISHED |
| Object | bordure compony |
—
|
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: bordure compony | Statement: [Royal arms of England within a bordure compony argent and azure, bordureType, bordure compony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bordureType Context triple: [Royal arms of England within a bordure compony argent and azure, bordureType, bordure compony]
-
A.
sharesBorderType
Indicates that two entities are connected by a common boundary characterized by the same specified type of border (e.g., land, river, maritime).
-
B.
formsPartOfBorderType
Indicates that one border type constitutes a component or segment of another, more comprehensive border type.
-
C.
hadBorderType
Indicates that a boundary between two entities existed and specifies the nature or classification of that border (e.g., land, maritime, disputed).
-
D.
borderColor
Indicates the color that forms the boundary or outline of an entity.
-
E.
typicalBoundary
Indicates that one entity serves as the usual or characteristic boundary or limit for another entity.
- F. None of above. chosen
Provenance (4 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cde590819080dc474292b023ee |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.