Triple
T8736778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yefremovsky Uyezd |
E207405
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Yefremov |
E483928
|
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: Yefremov | Statement: [Yefremovsky Uyezd, administrativeCenter, Yefremov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yefremov Context triple: [Yefremovsky Uyezd, administrativeCenter, Yefremov]
-
A.
Yefremov
chosen
Yefremov is a town in western Russia known as a local administrative and economic center within Tula Oblast.
-
B.
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.
-
C.
Fyodorov
Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
-
D.
Fetyukov
Fetyukov is a sniveling, degraded fellow prisoner in Solzhenitsyn’s "One Day in the Life of Ivan Denisovich," known for his shameless scrounging and loss of dignity in the labor camp.
-
E.
Semyonov
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d45c96081909aa8509064ff3a04 |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42bd840081908074e9d322a15b68 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:38 p.m.