Triple
T1043508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Note |
E22521
|
entity |
| Predicate | statusAfterPhaseOut |
P13710
|
FINISHED |
| Object | remains legal tender |
—
|
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: remains legal tender | Statement: [United States Note, statusAfterPhaseOut, remains legal tender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterPhaseOut Context triple: [United States Note, statusAfterPhaseOut, remains legal tender]
-
A.
phaseOutReason
Indicates the reason or justification for discontinuing, retiring, or gradually ending use of something.
-
B.
declineAfter
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
-
C.
laterStatus
chosen
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
stoppedAt
Indicates that an entity has come to a halt or pause at a specific location or point in time.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.