Triple
T32768973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia–Kazakhstan lease agreement |
E837981
|
entity |
| Predicate | lessor |
P175101
|
FINISHED |
| Object | Republic of Kazakhstan |
—
|
NE NERFINISHED |
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: Republic of Kazakhstan | Statement: [Russia–Kazakhstan lease agreement, lessor, Republic of Kazakhstan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lessor Context triple: [Russia–Kazakhstan lease agreement, lessor, Republic of Kazakhstan]
-
A.
lender
Indicates a relationship where one party provides something, typically money or resources, to another with the expectation of repayment or return.
-
B.
leaseRecipient
Indicates the party that receives or holds rights to use a property or asset under a lease agreement from another party.
-
C.
retainsForLessors
Indicates that an entity keeps or holds something (such as rights, documents, or payments) on behalf of lessors, rather than transferring or releasing it.
-
D.
alsoTenant
Indicates that two or more entities share the status of being tenants, typically occupying the same property or rental arrangement.
-
E.
holder
Indicates that one entity possesses, controls, or has custody of another entity, typically in a temporary or contextual sense.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:13 a.m.