Triple
T2861604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventh Amendment to the United States Constitution |
E63334
|
entity |
| Predicate | setsMonetaryThreshold |
P14326
|
FINISHED |
| Object | twenty dollars |
—
|
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: twenty dollars | Statement: [Seventh Amendment to the United States Constitution, setsMonetaryThreshold, twenty dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsMonetaryThreshold Context triple: [Seventh Amendment to the United States Constitution, setsMonetaryThreshold, twenty dollars]
-
A.
currencyOfThreshold
Indicates the specific currency in which a given threshold value is defined or measured.
-
B.
thresholdFor
chosen
Indicates that one entity specifies the minimum or limiting value at which a condition, effect, or state involving another entity begins to occur or change.
-
C.
setsMaximum
Indicates that one entity establishes an upper limit or maximum allowable value for another entity or quantity.
-
D.
commitmentThreshold
Indicates the minimum level or degree of commitment required before a particular action, status, or relationship is established or recognized.
-
E.
authorizedSpending
Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8df8288190816767169ea7cbf9 |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.