Triple
T31612719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Площадь Победы |
E806668
|
entity |
| Predicate | belarusianName |
P26843
|
FINISHED |
| Object |
Плошча Перамогі
Плошча Перамогі is a central square in Minsk, Belarus, dedicated to the memory of those who died in World War II and known for its prominent Victory Monument and eternal flame.
|
E1968594
|
NE FINISHED |
How this triple was built (3 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: Плошча Перамогі | Statement: [Площадь Победы, belarusianName, Плошча Перамогі]
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: Плошча Перамогі Triple: [Площадь Победы, belarusianName, Плошча Перамогі]
Generated description
Плошча Перамогі is a central square in Minsk, Belarus, dedicated to the memory of those who died in World War II and known for its prominent Victory Monument and eternal flame.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belarusianName Context triple: [Площадь Победы, belarusianName, Плошча Перамогі]
-
A.
nameInBelarusian
chosen
Indicates that an entity is known or referred to by a specific name in the Belarusian language.
-
B.
UkrainianName
Indicates that an entity has a name that is in the Ukrainian language or follows Ukrainian naming conventions.
-
C.
hasNameInRusyn
Indicates that an entity has a specific name or label expressed in the Rusyn language.
-
D.
nameInLithuanian
Indicates that one entity is the Lithuanian-language name or label for another entity.
-
E.
modernBelarusianAdministrativeRegion
Indicates that an entity is an administrative region within the contemporary state structure of Belarus.
- F. None of above.
Provenance (6 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8a7bb6c819082c576bf21a6efe4 |
completed | May 3, 2026, 1:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b566319a08190ab371092cb695bb8 |
completed | June 12, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a2b5858068081908f55d292d9cf99d3 |
completed | June 12, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b59296e788190a762da61d0b14ab6 |
completed | June 12, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:37 p.m.