Triple
T477586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarter Eagle |
E9094
|
entity |
| Predicate | monetaryCategory |
P87
|
FINISHED |
| Object | fractional U.S. gold coin |
—
|
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: fractional U.S. gold coin | Statement: [Quarter Eagle, monetaryCategory, fractional U.S. gold coin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monetaryCategory Context triple: [Quarter Eagle, monetaryCategory, fractional U.S. gold coin]
-
A.
monetaryComponent
Indicates that something is a financial element or part of a larger monetary value, structure, or transaction.
-
B.
currency
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
-
C.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
D.
economicClassification
Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
-
E.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03f3fbc81909af6e4496d5e6c2a |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf017548190ae38ff3314a1ffa3 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.