Triple
T11501675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cossack sabers (shashka) |
E272677
|
entity |
| Predicate | adoptedBy |
P1034
|
FINISHED |
| Object | Terek Cossacks |
E274357
|
NE 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: Terek Cossacks | Statement: [Cossack sabers (shashka), adoptedBy, Terek Cossacks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terek Cossacks Context triple: [Cossack sabers (shashka), adoptedBy, Terek Cossacks]
-
A.
Terek Cossacks
chosen
The Terek Cossacks are a historic Cossack community that settled along the Terek River in the North Caucasus, serving as frontier warriors of the Russian Empire and later Russia.
-
B.
Terek Grozny
Terek Grozny is a Russian professional football club based in Grozny, Chechnya, that has competed in the Russian Premier League.
-
C.
Gudalovka
Gudalovka is a rural locality in Russia notable as the birthplace of Marxist theorist Georgi Plekhanov.
-
D.
Tulskaya
Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
-
E.
Terek River
The Terek River is a major river in the North Caucasus that flows through Georgia and Russia before emptying into the Caspian Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604bc1d3c81908497f1d19dcc2167 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:36 p.m.