Triple
T2945881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vologda Oblast |
E79498
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | city of Cherepovets |
E217616
|
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: city of Cherepovets | Statement: [Vologda Oblast, contains, city of Cherepovets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Cherepovets Context triple: [Vologda Oblast, contains, city of Cherepovets]
-
A.
Cherepovets
chosen
Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
-
B.
city of Rostov
The city of Rostov is one of Russia’s oldest historic towns, renowned for its well-preserved kremlin and significant role in the cultural heritage of the Golden Ring region.
-
C.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
D.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
E.
Tomsk
Tomsk is a historic university and research city in southwestern Siberia, known as one of the region’s oldest and most important cultural and educational centers.
- 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_69b08692105c81908a3a146376b7417f |
completed | March 10, 2026, 9:01 p.m. |
Created at: March 8, 2026, 2:56 p.m.