Triple
T6763381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirgorod |
E154650
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Viy
Viy is a horror novella by Nikolai Gogol, centered on a terrifying demonic figure, that appears as one of the tales in his collection "Mirgorod."
|
E618044
|
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: Viy | Statement: [Mirgorod, hasPart, Viy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viy Context triple: [Mirgorod, hasPart, Viy]
-
A.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
-
B.
Neszmély
Neszmély is a village in northwestern Hungary on the Danube River, historically noted as the place where Holy Roman Emperor Albert II died.
-
C.
Viliya
Viliya is an alternative name for the Neris River, a major river flowing through Belarus and Lithuania and a key tributary of the Neman.
-
D.
Vanga
Vanga was an ancient historical region in eastern Bengal, centered in what is now southern Bangladesh and parts of the Indian state of West Bengal.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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: Viy Triple: [Mirgorod, hasPart, Viy]
Generated description
Viy is a horror novella by Nikolai Gogol, centered on a terrifying demonic figure, that appears as one of the tales in his collection "Mirgorod."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viy Target entity description: Viy is a horror novella by Nikolai Gogol, centered on a terrifying demonic figure, that appears as one of the tales in his collection "Mirgorod."
-
A.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
-
B.
Neszmély
Neszmély is a village in northwestern Hungary on the Danube River, historically noted as the place where Holy Roman Emperor Albert II died.
-
C.
Viliya
Viliya is an alternative name for the Neris River, a major river flowing through Belarus and Lithuania and a key tributary of the Neman.
-
D.
Vanga
Vanga was an ancient historical region in eastern Bengal, centered in what is now southern Bangladesh and parts of the Indian state of West Bengal.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2160a2c8190837c608a3509c62c |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b6ec408190bd9131f289b02ba7 |
completed | March 27, 2026, 11:28 p.m. |
| NEDg | Description generation | batch_69c713b3accc81908d19c1b00e2c312c |
completed | March 27, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7146413748190b844d9422dce42c2 |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:12 p.m.