Triple
T3925462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States half dollar coins |
E93263
|
entity |
| Predicate | silverContent |
P16789
|
FINISHED |
| Object | 90% silver (pre-1965 issues) |
—
|
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: 90% silver (pre-1965 issues) | Statement: [United States half dollar coins, silverContent, 90% silver (pre-1965 issues)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silverContent Context triple: [United States half dollar coins, silverContent, 90% silver (pre-1965 issues)]
-
A.
silverContentStandard
chosen
Indicates the standard or required amount of silver content specified for something, such as a material, product, or item.
-
B.
changedSilverContentOf
Indicates that one entity altered the amount or proportion of silver contained in another entity.
-
C.
silverContentEnded
Indicates that the period or state during which something contained or involved silver has come to an end.
-
D.
standardGoldContent
Indicates the specified standard or required amount of gold contained in something, typically as a measure of purity or value.
-
E.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7f3cc881909464db1970ba39ae |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.