Triple
T9313559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minsk Region |
E224062
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Zhodino
Zhodino is an industrial city in Belarus known for its heavy machinery production, particularly large mining dump trucks.
|
E791353
|
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: Zhodino | Statement: [Minsk Region, contains, Zhodino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhodino Context triple: [Minsk Region, contains, Zhodino]
-
A.
Karmanovo
Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
-
B.
Tsarevo
Tsarevo is a coastal town and popular seaside resort on the Black Sea in southeastern Bulgaria.
-
C.
Karlovo
Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
-
D.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
E.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
- 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: Zhodino Triple: [Minsk Region, contains, Zhodino]
Generated description
Zhodino is an industrial city in Belarus known for its heavy machinery production, particularly large mining dump trucks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhodino Target entity description: Zhodino is an industrial city in Belarus known for its heavy machinery production, particularly large mining dump trucks.
-
A.
Karmanovo
Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
-
B.
Tsarevo
Tsarevo is a coastal town and popular seaside resort on the Black Sea in southeastern Bulgaria.
-
C.
Karlovo
Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
-
D.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
E.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7a0adc4819097ac906f03f0188e |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0c8a7190c819097e71c15f7924268 |
completed | April 4, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c9e7e7d08190bddc6786f0fcea9e |
completed | April 4, 2026, 8:20 a.m. |
Created at: March 30, 2026, 7:37 p.m.