Triple
T9731630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iset River |
E235756
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Kamensk-Uralsky |
E688435
|
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: Kamensk-Uralsky | Statement: [Iset River, hasCityOnBank, Kamensk-Uralsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamensk-Uralsky Context triple: [Iset River, hasCityOnBank, Kamensk-Uralsky]
-
A.
Kamensk-Uralsky
chosen
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
B.
Kamyensk-Shakhtinsky
Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
-
C.
Alapayevsk
Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
-
D.
Nizhnekamsk
Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
-
E.
Kuznetsk
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb2373c81909139c7a2ff2aa541 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e4fa938881908253aed52870210d |
completed | April 5, 2026, 10:40 p.m. |
Created at: March 30, 2026, 8:22 p.m.