Triple
T634531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahlonega Mint |
E15993
|
entity |
| Predicate | mintMarkUsedOn |
P17363
|
FINISHED |
| Object | gold 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: gold coins | Statement: [Dahlonega Mint, mintMarkUsedOn, gold coins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mintMarkUsedOn Context triple: [Dahlonega Mint, mintMarkUsedOn, gold coins]
-
A.
mint
Indicates the act of creating or issuing something new, typically in an official or authoritative capacity (such as producing new currency or tokens).
-
B.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
C.
usedSeal
Indicates that an entity has applied or employed a seal (e.g., for closure, authentication, or protection) on another entity.
-
D.
markType
Indicates the specific category or kind of mark associated with or applied to an entity.
-
E.
usedByDenomination
Indicates that something (such as an object, practice, or concept) is employed or utilized by a particular religious denomination.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.