Triple
T4137905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Wales's feathers |
E89200
|
entity |
| Predicate | hasCoronetType |
P10697
|
FINISHED |
| Object | royal 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: royal coronet | Statement: [Prince of Wales's feathers, hasCoronetType, royal coronet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoronetType Context triple: [Prince of Wales's feathers, hasCoronetType, royal coronet]
-
A.
crownType
chosen
Indicates the specific style or form of a crown associated with an entity.
-
B.
hasCrownName
Indicates that an entity possesses or is identified by a specific crown name, typically used as an official or regal title.
-
C.
hasCrownCount
Indicates the number of crowns that an entity possesses or is associated with.
-
D.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
E.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.