Triple
T251396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States coins |
E5153
|
entity |
| Predicate | collectibleType |
P2370
|
FINISHED |
| Object | numismatic coins |
—
|
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: numismatic coins | Statement: [United States coins, collectibleType, numismatic coins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectibleType Context triple: [United States coins, collectibleType, numismatic coins]
-
A.
collectibleAspect
chosen
Indicates that one entity represents a collectible-related characteristic, feature, or dimension associated with another entity.
-
B.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
C.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
-
D.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
E.
partOfCollection
Indicates that an entity belongs to, or is included within, a larger collection or set.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d38aba8819081d0958eb60ce27e |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.