Triple
T13025502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Menshikova |
E326293
|
entity |
| Predicate | placeOfExile |
P10493
|
FINISHED |
| Object | Berezov |
E1016221
|
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: Berezov | Statement: [Maria Menshikova, placeOfExile, Berezov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berezov Context triple: [Maria Menshikova, placeOfExile, Berezov]
-
A.
Berezov
chosen
Berezov is a historic Russian town in the Khanty-Mansi Autonomous Okrug, known as a remote place of exile during the Russian Empire.
-
B.
Berezniki
Berezniki is a major industrial city in Russia known for its large potash mining and chemical industries.
-
C.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
D.
Zhukovka
Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
-
E.
Ruzaevka
Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcb86148190ad1b19c6e8764397 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:53 p.m.