Triple
T2945861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vologda Oblast |
E79498
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | 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: Cherepovets | Statement: [Vologda Oblast, largestCity, Cherepovets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherepovets Context triple: [Vologda Oblast, largestCity, Cherepovets]
-
A.
Cherepovets
chosen
Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
-
B.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
C.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
D.
Elektrostal
Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
-
E.
Kaluga
Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
- 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_69b54c16c05481908f451b492ca9f47f |
completed | March 14, 2026, 11:52 a.m. |
Created at: March 8, 2026, 2:56 p.m.