Triple
T35918064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential $1 Coin Program |
E1038799
|
entity |
| Predicate | edgeInscriptions |
P183969
|
FINISHED |
| Object | year of minting |
—
|
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: year of minting | Statement: [Presidential $1 Coin Program, edgeInscriptions, year of minting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edgeInscriptions Context triple: [Presidential $1 Coin Program, edgeInscriptions, year of minting]
-
A.
edgeInscriptionLanguage
Indicates that the language specified is the language used in the inscription located on the edge of an object.
-
B.
issuedInscriptionsIn
Indicates that an entity (such as an authority or issuer) produced or authorized inscriptions within a specified place or context.
-
C.
issuedInscription
Indicates that an authority or source formally created and released a specific inscription or written record.
-
D.
isInscribedOn
Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
-
E.
linkInscription
Indicates a relationship where an inscription is associated with, or serves as a reference to, another entity such as a document, object, or record.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:07 p.m.