Triple
T23953054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шхара |
E603101
|
entity |
| Predicate | относитсяКЧастиКавказа |
P154480
|
FINISHED |
| Object | Западный Кавказ |
—
|
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: Западный Кавказ | Statement: [Шхара, относитсяКЧастиКавказа, Западный Кавказ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: относитсяКЧастиКавказа Context triple: [Шхара, относитсяКЧастиКавказа, Западный Кавказ]
-
A.
includesCaucasusStates
Indicates that a set, group, or region contains one or more of the states located in the Caucasus region.
-
B.
associatedWithCrimeanPeninsula
Indicates a relationship in which something or someone has a connection, relevance, or association to the Crimean Peninsula.
-
C.
locatedInRegionOfRussia
Indicates that one entity is geographically situated within a specified region of Russia.
-
D.
partOfFormerSovietRepublic
Indicates that one entity was a territorial or administrative component of a country that was formerly a republic of the Soviet Union.
-
E.
usedInTranscaucasia
Indicates that something is utilized or applied within the geographic region of Transcaucasia.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d558748190a51b5732a3e6713c |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:21 p.m.