Triple
T3069178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saratov Oblast |
E62177
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kalininsk
Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
|
E324447
|
NE FINISHED |
How this triple was built (4 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: Kalininsk | Statement: [Saratov Oblast, containsCity, Kalininsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalininsk Context triple: [Saratov Oblast, containsCity, Kalininsk]
-
A.
Kuntsevskaya
Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
-
B.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
-
C.
Kalinin
Kalinin is the former Soviet-era name of the Russian city now known as Tver, reflecting its renaming in honor of Bolshevik leader Mikhail Kalinin.
-
D.
Nikitin
Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
-
E.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kalininsk Triple: [Saratov Oblast, containsCity, Kalininsk]
Generated description
Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalininsk Target entity description: Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
-
A.
Kuntsevskaya
Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
-
B.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
-
C.
Kalinin
Kalinin is the former Soviet-era name of the Russian city now known as Tver, reflecting its renaming in honor of Bolshevik leader Mikhail Kalinin.
-
D.
Nikitin
Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
-
E.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
- F. None of above. chosen
Provenance (5 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f87bec6c8190ae928fc7c4467859 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f9151ce4819092f2c4b5ccd10b30 |
completed | March 11, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9b88ad481909e8e9e889cd828c6 |
completed | March 11, 2026, 11:24 p.m. |
Created at: March 8, 2026, 3:02 p.m.