Triple
T8435191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armenia under Abbasid Caliphate |
E199209
|
entity |
| Predicate | mainEvents |
P83350
|
FINISHED |
| Object | heavy taxation of Armenian nobility and peasantry |
—
|
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 taxation of Armenian nobility and peasantry | Statement: [Armenia under Abbasid Caliphate, mainEvents, heavy taxation of Armenian nobility and peasantry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainEvents Context triple: [Armenia under Abbasid Caliphate, mainEvents, heavy taxation of Armenian nobility and peasantry]
-
A.
mainEventFor
Indicates that one event is the primary or central event associated with another entity, such as a context, grouping, or larger occurrence.
-
B.
mainEventCity
Indicates the city in which the primary or main event takes place.
-
C.
numberOfMainEvents
Indicates the total count of primary or most significant events associated with a given entity or context.
-
D.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
E.
mainEventStipulation
Indicates that a specified condition, requirement, or rule must be satisfied for the main event or primary occurrence in a given context.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.