Triple
T1854517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Act 1764 |
E41670
|
entity |
| Predicate | reducedDutyRateOn |
P33601
|
FINISHED |
| Object | foreign molasses |
—
|
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: foreign molasses | Statement: [Sugar Act 1764, reducedDutyRateOn, foreign molasses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedDutyRateOn Context triple: [Sugar Act 1764, reducedDutyRateOn, foreign molasses]
-
A.
reducedCostOf
Indicates that one entity represents a lowered or discounted cost associated with another entity, typically compared to a standard or original price.
-
B.
reducedPowerOf
Indicates that one entity has a diminished or weakened level of power, authority, or effectiveness relative to another or to its previous state.
-
C.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
-
D.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
E.
reducedTerritoryOf
Indicates that one entity has caused a decrease in the size or extent of another entity's territory or area of control.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb22f36f08190abf5e295ddf310d7 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:33 p.m.