Triple
T35918050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential $1 Coin Program |
E1038799
|
entity |
| Predicate | outerLayerMetals |
P56101
|
FINISHED |
| Object | copper |
—
|
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: copper | Statement: [Presidential $1 Coin Program, outerLayerMetals, copper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerLayerMetals Context triple: [Presidential $1 Coin Program, outerLayerMetals, copper]
-
A.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
-
B.
allMetalConstruction
Indicates that something is constructed entirely or almost entirely from metal components.
-
C.
effectOnMetals
Indicates the type or nature of influence that something has on metals, such as altering their properties, behavior, or state.
-
D.
metalColor
Indicates the color attribute associated specifically with a metal or metallic material.
-
E.
outerSurface
chosen
Indicates that one entity forms the external boundary or outermost layer of another entity.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa7a89081909b1d7b3118c3d4b1 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.