Triple
T35917972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacagawea dollar |
E1038797
|
entity |
| Predicate | compositionOuterLayer |
P118374
|
FINISHED |
| Object | 77% 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: 77% copper | Statement: [Sacagawea dollar, compositionOuterLayer, 77% copper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionOuterLayer Context triple: [Sacagawea dollar, compositionOuterLayer, 77% copper]
-
A.
hasOuterLayer
chosen
Indicates that one entity forms the external or surrounding layer of another entity.
-
B.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
-
C.
hasOuterLayers
Indicates that one entity possesses external layers or coverings surrounding its main body or structure.
-
D.
branchComposition
Indicates that one branch or subdivision is structurally or functionally composed of, or made up from, another entity or set of entities.
-
E.
compositionOrder
Indicates the sequence in which components or elements are combined or arranged to form a whole.
- 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_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:07 p.m.