Triple
T4254335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krasnogvardeysky District |
E95934
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Privolnoye |
E16703
|
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: Privolnoye | Statement: [Krasnogvardeysky District, containsSettlement, Privolnoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Privolnoye Context triple: [Krasnogvardeysky District, containsSettlement, Privolnoye]
-
A.
Privolnoye
chosen
Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
-
B.
Svobodny
Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
-
C.
Molodyozhnaya
Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
-
D.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
E.
Vrijheid
Vrijheid was a Dutch ship of the line that served as the flagship of the Dutch fleet during the late 18th century and was captured by the British at the Battle of Camperdown in 1797.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a887703c81909a40f23f83154b8c |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.