Triple
T19878542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of the House of Arenberg |
E477703
|
entity |
| Predicate | hasExternalOrnament |
P38145
|
FINISHED |
| Object | ducal coronet |
—
|
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: ducal coronet | Statement: [Arms of the House of Arenberg, hasExternalOrnament, ducal coronet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExternalOrnament Context triple: [Arms of the House of Arenberg, hasExternalOrnament, ducal coronet]
-
A.
hasOrnamentation
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
-
B.
hasDecor
chosen
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
C.
notableOrnamental
Indicates that something is recognized as a particularly significant or distinguished example of ornamental decoration or design.
-
D.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
E.
isWearableDecoration
Indicates that one entity serves as a decorative item intended to be worn on the body 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dc8ce08190b005ad49924e5659 |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.