Triple
T20261119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukhona River |
E498836
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Veliky Ustyug |
—
|
NE NERFINISHED |
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: Veliky Ustyug | Statement: [Sukhona River, hasCityOnBank, Veliky Ustyug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veliky Ustyug Context triple: [Sukhona River, hasCityOnBank, Veliky Ustyug]
-
A.
Veliky Ustyug
chosen
Veliky Ustyug is a historic town in northwestern Russia known for its well-preserved medieval architecture and as the official hometown of Ded Moroz, the Russian Santa Claus.
-
B.
Nevyansk
Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
-
C.
Ухта
Ухта — промышленный город в Республике Коми России, известный как один из центров нефтегазодобычи и переработки в регионе.
-
D.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
E.
Ustyuzhna
Ustyuzhna is a historic town in Vologda Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ca77c081909cd2f44ccfe3662d |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.