Triple
T4239583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Eagle silver bullion coins |
E94777
|
entity |
| Predicate | marketValueBasis |
P6447
|
FINISHED |
| Object | silver spot price |
—
|
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: silver spot price | Statement: [American Eagle silver bullion coins, marketValueBasis, silver spot price]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketValueBasis Context triple: [American Eagle silver bullion coins, marketValueBasis, silver spot price]
-
A.
calculationBasis
chosen
Indicates the rule, method, or reference standard used as the foundation for performing a calculation in the relationship.
-
B.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
-
C.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
-
D.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
E.
conversionBasis
Indicates the reference standard, rate, or unit system used as the foundation for converting one quantity, unit, or representation into another.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e77fb5c8190b298818acb68ff63 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.