Triple
T2299285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ural region |
E51691
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Magnitogorsk |
E359505
|
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: Magnitogorsk | Statement: [Ural region, majorCity, Magnitogorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnitogorsk Context triple: [Ural region, majorCity, Magnitogorsk]
-
A.
Magnitogorsk
chosen
Magnitogorsk is a major industrial city in Russia’s Chelyabinsk Oblast, historically centered around one of the world’s largest iron and steel works.
-
B.
Nizhny Tagil
Nizhny Tagil is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical plants and role in the country’s heavy industry.
-
C.
Almetyevsk
Almetyevsk is an industrial city in the Republic of Tatarstan, Russia, known especially as a major center of the country’s oil industry.
-
D.
Yekaterinburg
Yekaterinburg is a major industrial and cultural city in Russia’s Ural region, historically known as the site of the execution of the last Russian tsar, Nicholas II, and his family.
-
E.
Chelyabinsk
Chelyabinsk is a large industrial city in west-central Russia, located just east of the Ural Mountains and known as a major regional economic and transportation hub.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ec3c948190b47ea763812a1cf5 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402a702a081909319ba32990fa010 |
completed | March 13, 2026, 12:27 p.m. |
Created at: March 4, 2026, 7:49 p.m.