Triple
T18991742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barber dime |
E464698
|
entity |
| Predicate | faceValueText |
P134059
|
FINISHED |
| Object | ONE DIME on reverse |
—
|
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: ONE DIME on reverse | Statement: [Barber dime, faceValueText, ONE DIME on reverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faceValueText Context triple: [Barber dime, faceValueText, ONE DIME on reverse]
-
A.
faceValueUnit
Indicates the unit of measurement in which the face value of something (such as a financial instrument or item) is expressed.
-
B.
faceValueType
Indicates the type or category of a financial instrument’s face (nominal) value, such as how that value is defined or represented.
-
C.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
-
D.
faceButtonSymbols
Indicates the symbols or icons that appear on the primary (face) buttons of a controller or device.
-
E.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
- F. None of above. chosen
Provenance (4 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67dee4c8190ac2017ff748ea6aa |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:01 p.m.