Triple
T2945904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vologda Oblast |
E79498
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object | Veliky Ustyug |
E343419
|
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: Veliky Ustyug | Statement: [Vologda Oblast, hasHistoricTown, Veliky Ustyug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veliky Ustyug Context triple: [Vologda Oblast, hasHistoricTown, 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.
Ust-Luga
Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
-
C.
Ust-Izhora
Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
-
D.
Otradnoye
Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
-
E.
Volzhsky
Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b3f86c819094526c2af611bfb5 |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3ac3bc481909bf1d220fdf06488 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 2:56 p.m.