Triple
T15581591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancien Régime in Paris |
E374511
|
entity |
| Predicate | hasTaxSystem |
P26388
|
FINISHED |
| Object | indirect taxes |
—
|
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 taxes | Statement: [Ancien Régime in Paris, hasTaxSystem, indirect taxes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaxSystem Context triple: [Ancien Régime in Paris, hasTaxSystem, indirect taxes]
-
A.
hasOwnTaxSystem
Indicates that an entity maintains and administers its own distinct system of taxation, separate from other jurisdictions or authorities.
-
B.
usesTariffSystem
Indicates that one entity applies or operates under a tariff-based system for pricing, taxation, or fees in its interactions or transactions.
-
C.
hasTaxPolicyResponsibility
Indicates that an entity holds authority or duty for creating, managing, or overseeing tax-related policies for another entity or jurisdiction.
-
D.
taxRegime
chosen
Indicates the system or structure of taxation that governs how taxes are assessed, collected, and applied within a particular context or jurisdiction.
-
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e45ee3c8190a6aee06a5805ca39 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.