Triple
T32768929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leninsk |
E837979
|
entity |
| Predicate | leaseStatus |
P175100
|
FINISHED |
| Object | territory leased by Russia from Kazakhstan |
—
|
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: territory leased by Russia from Kazakhstan | Statement: [Leninsk, leaseStatus, territory leased by Russia from Kazakhstan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leaseStatus Context triple: [Leninsk, leaseStatus, territory leased by Russia from Kazakhstan]
-
A.
leaseAgreement
Indicates a contractual relationship in which one party grants another the right to use an asset or property for a specified period in exchange for agreed payments or conditions.
-
B.
leaseContext
Indicates the contextual circumstances, terms, or conditions under which a lease agreement or leasing relationship exists or is interpreted.
-
C.
leaseOrigin
Indicates that one entity is the original source or starting point from which a lease agreement or leasing arrangement is derived.
-
D.
leaseBegan
Indicates that a lease agreement between parties started or came into effect at a specific time.
-
E.
leaseNumber
Indicates the unique identifying number assigned to a specific lease agreement between parties.
- 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.