Triple
T34113511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagorny District |
E874902
|
entity |
| Predicate | isLocatedInRegionOf |
P96807
|
FINISHED |
| Object | European Russia |
—
|
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: European Russia | Statement: [Nagorny District, isLocatedInRegionOf, European Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInRegionOf Context triple: [Nagorny District, isLocatedInRegionOf, European Russia]
-
A.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
B.
locatedInStateOrRegion
chosen
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
-
C.
isRegion
Indicates that one entity functions as a geographic or administrative region associated with another entity.
-
D.
foundInRegion
Indicates that something is located within, occurs in, or is associated with a specific geographic or spatial region.
-
E.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 1, 2026, 1:53 a.m.