Triple
T13918910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir Bakshi |
E334690
|
entity |
| Predicate | usedInGovernmentalStructure |
P23524
|
FINISHED |
| Object | mansabdari system |
—
|
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: mansabdari system | Statement: [Mir Bakshi, usedInGovernmentalStructure, mansabdari system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInGovernmentalStructure Context triple: [Mir Bakshi, usedInGovernmentalStructure, mansabdari system]
-
A.
usedInGovernmentBody
Indicates that an entity is employed by, serves within, or is otherwise functionally involved in the operations of a government body.
-
B.
usedInGovernmentIn
chosen
Indicates that something is employed, applied, or functions within the context of a specific government or governmental system.
-
C.
inGovernmentStructure
Indicates that one entity is part of, belongs to, or is included within the organizational or institutional framework of a government.
-
D.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
-
E.
locatedInGovernmentBody
Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de272753e48190bc609482635280ff |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.