Triple
T19879034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam city wine excise office |
E477717
|
entity |
| Predicate | taxTypeAdministered |
P3166
|
FINISHED |
| Object | excise tax on wine |
—
|
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: excise tax on wine | Statement: [Amsterdam city wine excise office, taxTypeAdministered, excise tax on wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxTypeAdministered Context triple: [Amsterdam city wine excise office, taxTypeAdministered, excise tax on wine]
-
A.
taxType
chosen
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
taxRegime
Indicates the system or structure of taxation that governs how taxes are assessed, collected, and applied within a particular context or jurisdiction.
-
C.
taxAuthority
Indicates that an entity serves as the official body responsible for assessing, collecting, and enforcing taxes over another entity or within a jurisdiction.
-
D.
typeOfTaxCredit
Indicates that one entity is a specific kind or category of tax credit in relation to another entity.
-
E.
taxationMethod
Indicates the specific way or system by which taxes are calculated, collected, or applied in a given 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dd869c81908aed91ee767f5f3d |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.