Triple
T794274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Point Mint |
E16982
|
entity |
| Predicate | beganStoringSilver |
P19209
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [West Point Mint, beganStoringSilver, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganStoringSilver Context triple: [West Point Mint, beganStoringSilver, 1930s]
-
A.
redeemabilityEndedForSilver
Indicates that the ability to redeem silver (e.g., for currency or obligations) has ceased or is no longer valid.
-
B.
openedForCoinage
Indicates that a facility, system, or process has been made available or activated specifically for the production or issuance of coinage.
-
C.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
D.
silverContentStandard
Indicates the standard or required amount of silver content specified for something, such as a material, product, or item.
-
E.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79b976c819085cd381bbd597ca5 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5edd0248190bd0240e5b3e67c71 |
completed | March 1, 2026, 8:47 p.m. |
Created at: March 1, 2026, 7:38 p.m.