Triple
T12040578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yanka Kupala State University of Grodno |
E286647
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Yanka Kupala
Yanka Kupala was a prominent Belarusian poet and playwright, regarded as one of the founders of modern Belarusian literature.
|
E960816
|
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: Yanka Kupala | Statement: [Yanka Kupala State University of Grodno, namedAfter, Yanka Kupala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yanka Kupala Context triple: [Yanka Kupala State University of Grodno, namedAfter, Yanka Kupala]
-
A.
Maychew
Maychew is a town in northern Ethiopia known as a local commercial and administrative center within the Tigray highlands.
-
B.
Zhmigrod
Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
-
C.
Taras
Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
-
D.
Shchors
Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
-
E.
Ostap Bulba
Ostap Bulba is one of the two sons of the Cossack Taras Bulba in Nikolai Gogol’s historical novella, known for his bravery, loyalty, and tragic fate.
- 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: Yanka Kupala Triple: [Yanka Kupala State University of Grodno, namedAfter, Yanka Kupala]
Generated description
Yanka Kupala was a prominent Belarusian poet and playwright, regarded as one of the founders of modern Belarusian literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yanka Kupala Target entity description: Yanka Kupala was a prominent Belarusian poet and playwright, regarded as one of the founders of modern Belarusian literature.
-
A.
Maychew
Maychew is a town in northern Ethiopia known as a local commercial and administrative center within the Tigray highlands.
-
B.
Zhmigrod
Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
-
C.
Taras
Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
-
D.
Shchors
Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
-
E.
Ostap Bulba
Ostap Bulba is one of the two sons of the Cossack Taras Bulba in Nikolai Gogol’s historical novella, known for his bravery, loyalty, and tragic fate.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040c1a6c8190aea1388e82dd8f5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d9937a08190b2f606a1e55733b5 |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56505c0b481909f9caaf338f73033 |
completed | May 2, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:47 p.m.