Triple
T38235653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America’s Beautiful National Parks Quarter Dollar Coin Act of 2008 |
E1013612
|
entity |
| Predicate | designSideAffected |
P177294
|
FINISHED |
| Object | 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: reverse | Statement: [America’s Beautiful National Parks Quarter Dollar Coin Act of 2008, designSideAffected, reverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designSideAffected Context triple: [America’s Beautiful National Parks Quarter Dollar Coin Act of 2008, designSideAffected, reverse]
-
A.
hasDesignSide
chosen
Indicates that one entity is located on, associated with, or corresponds to a particular side or face of another entity’s design.
-
B.
involvedSide
Indicates that an entity participates as one of the parties or sides involved in a particular event, interaction, or situation.
-
C.
hasLeftSideDesignation
Indicates that a specific designation, label, or marker is assigned to the left side of an object, structure, or spatial arrangement.
-
D.
onSide
Indicates that one entity is positioned along or adjacent to the side of another entity.
-
E.
designAspect
Indicates that one entity represents a particular design-related feature, characteristic, or consideration 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:30 p.m.