Triple
T5063831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyacheslav Kozlov |
E114093
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Voskresensk |
E138871
|
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: Voskresensk | Statement: [Vyacheslav Kozlov, placeOfBirth, Voskresensk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voskresensk Context triple: [Vyacheslav Kozlov, placeOfBirth, Voskresensk]
-
A.
Voskresensk
chosen
Voskresensk is a town in Moscow Oblast, Russia, known for its industrial base and strong ice hockey tradition.
-
B.
Bogoroditsk
Bogoroditsk is a small historic town in western Russia known for its 18th-century palace-and-park ensemble and its role as a local industrial and cultural center.
-
C.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
-
D.
Mozhaisk
Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
-
E.
Volokolamskaya
Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea497fed0819098746fd8917f041c |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.