Triple
T4797238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenino |
E106739
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Byalynichy
Byalynichy is a small town in eastern Belarus known as an administrative center in the Mogilev Region.
|
E470876
|
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: Byalynichy | Statement: [Lenino, near, Byalynichy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byalynichy Context triple: [Lenino, near, Byalynichy]
-
A.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
B.
Shchyokino
Shchyokino is a town in Tula Oblast, Russia, known as a local industrial center and the administrative hub of its surrounding district.
-
C.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
D.
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.
-
E.
Vyartsilya
Vyartsilya is a small urban-type settlement in the Republic of Karelia, Russia, near the border with Finland.
- 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: Byalynichy Triple: [Lenino, near, Byalynichy]
Generated description
Byalynichy is a small town in eastern Belarus known as an administrative center in the Mogilev Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Byalynichy Target entity description: Byalynichy is a small town in eastern Belarus known as an administrative center in the Mogilev Region.
-
A.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
B.
Shchyokino
Shchyokino is a town in Tula Oblast, Russia, known as a local industrial center and the administrative hub of its surrounding district.
-
C.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
D.
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.
-
E.
Vyartsilya
Vyartsilya is a small urban-type settlement in the Republic of Karelia, Russia, near the border with Finland.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd660b05ec8190971f43350f02fed4 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43f8d9548190857910be4ffc2711 |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be46516cd881909144adabbe271907 |
completed | March 21, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be47d4d26c8190a1a192dc12578f4f |
completed | March 21, 2026, 7:25 a.m. |
Created at: March 20, 2026, 1:22 p.m.