Triple
T4508650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trade dollar |
E101994
|
entity |
| Predicate | demonetizedInYear |
P26134
|
FINISHED |
| Object | 1876 |
—
|
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: 1876 | Statement: [Trade dollar, demonetizedInYear, 1876]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demonetizedInYear Context triple: [Trade dollar, demonetizedInYear, 1876]
-
A.
demonetizationYear
chosen
Indicates the year in which an entity (typically a currency, coin, or note) was officially withdrawn from legal tender status or had its monetary validity revoked.
-
B.
demonetized
Indicates that something has lost its status or validity as legal tender or a source of monetization, and can no longer be used to generate revenue in the usual way.
-
C.
redenominationDate
Indicates the date on which a currency or financial instrument undergoes a formal change in its nominal value or unit (redenomination).
-
D.
isLegalTenderSince
Indicates that something has held the status of legal tender starting from a specified point in time.
-
E.
firstRedenominationYear
Indicates the year in which a currency or financial unit was first redenominated (i.e., its face value was officially recalibrated or replaced).
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570f9b1c8190b52ace855dbf6641 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.