Triple
T60113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In God We Trust |
E1191
|
entity |
| Predicate | firstAppearanceOnUSPaperCurrency |
P4484
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [In God We Trust, firstAppearanceOnUSPaperCurrency, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceOnUSPaperCurrency Context triple: [In God We Trust, firstAppearanceOnUSPaperCurrency, 1957]
-
A.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
B.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
-
C.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
D.
banknoteDenomination
Indicates the specific face value assigned to a banknote in a given currency.
-
E.
isLegalTenderFor
Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
- 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a251a1b8ac8190b44be4c3c41e5681 |
completed | Feb. 28, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69a24ea0bec48190b2af1fb287e9e692 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a251a088f8819083797c2baf310c39 |
completed | Feb. 28, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.