Triple
T6290133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolstoy |
E140994
|
entity |
| Predicate | memberOfEstateSystem |
P70713
|
FINISHED |
| Object | Russian landed gentry |
—
|
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: Russian landed gentry | Statement: [Tolstoy, memberOfEstateSystem, Russian landed gentry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfEstateSystem Context triple: [Tolstoy, memberOfEstateSystem, Russian landed gentry]
-
A.
hasAssociatedEstate
Indicates that one entity is linked to, or has responsibility for, a particular estate or property.
-
B.
hasEstateType
Indicates that an entity possesses or is associated with a particular category or type of estate.
-
C.
ownershipConsortiumMember
Indicates that an entity is a member of a consortium that collectively holds ownership or control over another entity.
-
D.
establishedInAdministrativeUnit
Indicates that something (such as an organization, facility, or institution) was founded or formally created within a specific administrative unit or jurisdiction.
-
E.
representedEstate
Indicates that one party has acted as a legal or official representative for a particular estate in matters such as administration, management, or proceedings.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ca91481909d49b700cef93ffe |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c06284848c8190a0151ff3e8682889 |
completed | March 22, 2026, 9:43 p.m. |
Created at: March 22, 2026, 4:26 p.m.