Triple
T11999974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogilev Region |
E285632
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Asipovichy
Asipovichy is a town in eastern Belarus known as a local industrial and transportation hub.
|
E958978
|
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: Asipovichy | Statement: [Mogilev Region, containsCity, Asipovichy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asipovichy Context triple: [Mogilev Region, containsCity, Asipovichy]
-
A.
Yurievichi
Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
-
B.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
C.
Iwaniska
Iwaniska is a village and the seat of a rural administrative district in south-central Poland’s Świętokrzyskie Voivodeship.
-
D.
Yezernitsky
Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
-
E.
Sobakevich
Sobakevich is a solid, bear-like landowner in Nikolai Gogol's novel "Dead Souls," known for his blunt practicality and coarse materialism.
- 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: Asipovichy Triple: [Mogilev Region, containsCity, Asipovichy]
Generated description
Asipovichy is a town in eastern Belarus known as a local industrial and transportation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asipovichy Target entity description: Asipovichy is a town in eastern Belarus known as a local industrial and transportation hub.
-
A.
Yurievichi
Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
-
B.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
C.
Iwaniska
Iwaniska is a village and the seat of a rural administrative district in south-central Poland’s Świętokrzyskie Voivodeship.
-
D.
Yezernitsky
Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
-
E.
Sobakevich
Sobakevich is a solid, bear-like landowner in Nikolai Gogol's novel "Dead Souls," known for his blunt practicality and coarse materialism.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f472917ed08190a872d9e5663d5ed5 |
completed | May 1, 2026, 9:29 a.m. |
| NEDg | Description generation | batch_69f47b7e4a40819085680c48eed5418a |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47df40a8c8190bd7350ba27f57214 |
completed | May 1, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:46 p.m.