Triple
T28647416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobden–Chevalier Treaty |
E725099
|
entity |
| Predicate | reducedTariffsOn |
P33601
|
FINISHED |
| Object | French wines imported into Britain |
—
|
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: French wines imported into Britain | Statement: [Cobden–Chevalier Treaty, reducedTariffsOn, French wines imported into Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedTariffsOn Context triple: [Cobden–Chevalier Treaty, reducedTariffsOn, French wines imported into Britain]
-
A.
eliminatesTariffsOn
Indicates the action by which one party removes or abolishes tariff charges that previously applied to another party or its goods/services.
-
B.
reducedDutyRateOn
chosen
Indicates a relationship where a reduced customs or tax duty rate is applied to a specified item or transaction.
-
C.
regulatesTariffs
Indicates that one entity has authority to control, set, or adjust the tariffs imposed on another entity or on certain transactions.
-
D.
reducedTax
Indicates that an entity is subject to a lower-than-standard tax rate or tax burden.
-
E.
numberOfTariffConcessions
Indicates the quantity of tariff concessions that apply within a given trade or customs context.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 4:49 a.m.