Triple
T8435209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armenia under Abbasid Caliphate |
E199209
|
entity |
| Predicate | taxation |
P25448
|
FINISHED |
| Object | heavy land and poll taxes imposed by Abbasid authorities |
—
|
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: heavy land and poll taxes imposed by Abbasid authorities | Statement: [Armenia under Abbasid Caliphate, taxation, heavy land and poll taxes imposed by Abbasid authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxation Context triple: [Armenia under Abbasid Caliphate, taxation, heavy land and poll taxes imposed by Abbasid authorities]
-
A.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
taxAuthority
Indicates that an entity serves as the official body responsible for assessing, collecting, and enforcing taxes over another entity or within a jurisdiction.
-
C.
taxCase
Indicates a legal case or proceeding whose primary subject is taxation or tax-related disputes between parties.
-
D.
taxOn
chosen
Indicates that one entity imposes or applies a tax on another entity or item.
-
E.
taxFunction
Indicates the rule or calculation method used to determine the amount of tax applied to a given input (such as income, price, or transaction).
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.