Triple
T3713268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murmansk Oblast |
E81464
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Monchegorsk |
E371889
|
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: Monchegorsk | Statement: [Murmansk Oblast, hasMajorCity, Monchegorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monchegorsk Context triple: [Murmansk Oblast, hasMajorCity, Monchegorsk]
-
A.
Monchegorsk
chosen
Monchegorsk is an industrial town in Russia’s Murmansk Oblast known for its large nickel and copper smelting operations within the Arctic Kola Peninsula region.
-
B.
Novonikolaevsk
Novonikolaevsk was a major early 20th-century city in Siberia—now known as Novosibirsk—that served as an important administrative and military center during the Russian Civil War.
-
C.
Nizhnekamsk
Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
-
D.
Novokuznetskaya
Novokuznetskaya is a Moscow Metro station known for its distinctive Stalinist architecture and richly decorated interiors.
-
E.
Salekhard
Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cbc5648190936f93868086167e |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5627bcc1881909381707a29ea0954 |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 8, 2026, 3:33 p.m.