Triple
T16484609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin half dollar |
E400405
|
entity |
| Predicate | denominationPlacement |
P23324
|
FINISHED |
| Object | HALF DOLLAR at bottom of 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: HALF DOLLAR at bottom of reverse | Statement: [Franklin half dollar, denominationPlacement, HALF DOLLAR at bottom of reverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denominationPlacement Context triple: [Franklin half dollar, denominationPlacement, HALF DOLLAR at bottom of reverse]
-
A.
denominationPosition
Indicates the role or rank an entity holds within a particular religious denomination or sect.
-
B.
denominationRank
Indicates the relative hierarchical level or status of a denomination within a broader organizational or categorical structure.
-
C.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
-
D.
denominationName
Indicates the specific religious or organizational denomination to which an entity belongs or is associated.
-
E.
denominationDepicted
chosen
Indicates that an item visually represents or shows the monetary denomination (value) of a currency.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e05bf448190947b9da15fd29d0a |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.