Triple
T7406721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferme générale |
E170888
|
entity |
| Predicate | taxTypeManaged |
P23810
|
FINISHED |
| Object | indirect taxation |
—
|
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: indirect taxation | Statement: [Ferme générale, taxTypeManaged, indirect taxation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxTypeManaged Context triple: [Ferme générale, taxTypeManaged, indirect taxation]
-
A.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
introducedTaxType
Indicates that an entity (such as a government or authority) has brought a particular type of tax into existence or put it into effect.
-
C.
taxationMethod
chosen
Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
-
D.
taxRegime
Indicates the system or structure of taxation that governs how taxes are assessed, collected, and applied within a particular context or jurisdiction.
-
E.
typeOfTaxpayerCovered
Indicates the category or kind of taxpayer to which a particular rule, obligation, or provision applies.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f275c6e481908b4ce9ff1e418296 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.