Triple
T517502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 84-851 |
E10739
|
entity |
| Predicate | mandatesInscription |
P15318
|
FINISHED |
| Object | "In God We Trust" on United States currency |
—
|
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: "In God We Trust" on United States currency | Statement: [Public Law 84-851, mandatesInscription, "In God We Trust" on United States currency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mandatesInscription Context triple: [Public Law 84-851, mandatesInscription, "In God We Trust" on United States currency]
-
A.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
B.
mandateFrom
Indicates that one entity has been granted authoritative permission or instruction by another entity to act or decide on its behalf.
-
C.
hasMandate
Indicates that an entity is officially authorized or required to perform a specific role, action, or set of responsibilities.
-
D.
numberOfInscriptions
Indicates the total count of inscriptions associated with a given entity or object.
-
E.
isInscribedOn
Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f19d81d48190bd65a02059fc8473 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0151e8c81909a82b58ac0515eba |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f1137e948190838303cdaa757a5a |
completed | Feb. 28, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.