Triple
T4891150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula Oblast |
E109563
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Yefremov
Yefremov is a town in western Russia known as a local administrative and economic center within Tula Oblast.
|
E483928
|
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: Yefremov | Statement: [Tula Oblast, hasCity, Yefremov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yefremov Context triple: [Tula Oblast, hasCity, Yefremov]
-
A.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
B.
Fyodorov
Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
-
C.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
D.
Yefimovich
Yefimovich is the Russian patronymic derived from the male given name Yefim, famously borne by Grigori Rasputin as part of his full name.
-
E.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
- 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: Yefremov Triple: [Tula Oblast, hasCity, Yefremov]
Generated description
Yefremov is a town in western Russia known as a local administrative and economic center within Tula Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yefremov Target entity description: Yefremov is a town in western Russia known as a local administrative and economic center within Tula Oblast.
-
A.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
B.
Fyodorov
Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
-
C.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
D.
Yefimovich
Yefimovich is the Russian patronymic derived from the male given name Yefim, famously borne by Grigori Rasputin as part of his full name.
-
E.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e07ca10819083f80f12374544b1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89de55c48190a280ae0719b5a8b6 |
completed | March 21, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69be8a5682888190a335742fab9a4649 |
completed | March 21, 2026, 12:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8aed0d58819092243e7bdf872069 |
completed | March 21, 2026, 12:11 p.m. |
Created at: March 20, 2026, 1:28 p.m.