Triple
T1875085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of the Soviet Union |
E39124
|
entity |
| Predicate | propertyRegime |
P21194
|
FINISHED |
| Object | state ownership of land |
—
|
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: state ownership of land | Statement: [Constitution of the Soviet Union, propertyRegime, state ownership of land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyRegime Context triple: [Constitution of the Soviet Union, propertyRegime, state ownership of land]
-
A.
property
Indicates that one entity possesses, is characterized by, or has an attribute or quality associated with another entity.
-
B.
governedByLegalRegime
Indicates that an entity is subject to, regulated by, or operating under a specific legal framework or set of legal rules.
-
C.
policyCharacteristic
Indicates that a policy possesses a particular attribute, feature, or quality that characterizes how it is defined or operates.
-
D.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
E.
landPolicy
chosen
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.