Triple
T38575808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cossack ataman |
E929397
|
entity |
| Predicate | isLinkedToRegion |
P41898
|
FINISHED |
| Object | Don Cossacks |
—
|
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: Don Cossacks | Statement: [Cossack ataman, isLinkedToRegion, Don Cossacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinkedToRegion Context triple: [Cossack ataman, isLinkedToRegion, Don Cossacks]
-
A.
linkedToRegion
chosen
Indicates that one entity is associated or connected to a specific geographic or administrative region.
-
B.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
C.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
D.
isPartOfRegionType
Indicates that one region belongs to, or is classified under, a broader region type or category.
-
E.
isRegion
Indicates that one entity functions as a geographic or administrative region associated with another entity.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.