Triple
T7320913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sverdlovsk Oblast |
E168541
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Serov
Serov is an industrial city in Russia’s Sverdlovsk Oblast, historically known as a major center of ferrous metallurgy in the Ural region.
|
E688512
|
NE FINISHED |
How this triple was built (4 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: Serov | Statement: [Sverdlovsk Oblast, hasCity, Serov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serov Context triple: [Sverdlovsk Oblast, hasCity, Serov]
-
A.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
B.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
C.
Kirov
Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
-
D.
Kovrov
Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
-
E.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Serov Triple: [Sverdlovsk Oblast, hasCity, Serov]
Generated description
Serov is an industrial city in Russia’s Sverdlovsk Oblast, historically known as a major center of ferrous metallurgy in the Ural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Serov Target entity description: Serov is an industrial city in Russia’s Sverdlovsk Oblast, historically known as a major center of ferrous metallurgy in the Ural region.
-
A.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
B.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
C.
Kirov
Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
-
D.
Kovrov
Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
-
E.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
- F. None of above. chosen
Provenance (5 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1ba58481909cfb5030b85f385a |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8de8efd648190b70b4299ecae32c7 |
completed | March 29, 2026, 8:10 a.m. |
| NEDg | Description generation | batch_69c8deee7b8881909d5012e08c758762 |
completed | March 29, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8dfa7eb9881909e595389bec8436e |
completed | March 29, 2026, 8:15 a.m. |
Created at: March 27, 2026, 3:02 p.m.