Triple
T15475469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltic paganism |
E376771
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object |
Velnias
Velnias is a chthonic deity in Baltic paganism associated with the underworld, the dead, and often trickster-like or demonic qualities.
|
E1159304
|
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: Velnias | Statement: [Baltic paganism, hasDeity, Velnias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velnias Context triple: [Baltic paganism, hasDeity, Velnias]
-
A.
Varniai
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
-
B.
Visaginas
Visaginas is a town in northeastern Lithuania known for its Soviet-era origins and proximity to the now-decommissioned Ignalina Nuclear Power Plant.
-
C.
Kegums
Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
-
D.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
E.
Ukmergė
Ukmergė is a historic town in central Lithuania known for its location along the Šventoji River and its role as a regional cultural and administrative center.
- 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: Velnias Triple: [Baltic paganism, hasDeity, Velnias]
Generated description
Velnias is a chthonic deity in Baltic paganism associated with the underworld, the dead, and often trickster-like or demonic qualities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velnias Target entity description: Velnias is a chthonic deity in Baltic paganism associated with the underworld, the dead, and often trickster-like or demonic qualities.
-
A.
Varniai
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
-
B.
Visaginas
Visaginas is a town in northeastern Lithuania known for its Soviet-era origins and proximity to the now-decommissioned Ignalina Nuclear Power Plant.
-
C.
Kegums
Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
-
D.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
E.
Ukmergė
Ukmergė is a historic town in central Lithuania known for its location along the Šventoji River and its role as a regional cultural and administrative center.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d093ccc8190aefc355a837c83f4 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff3015ee2c8190ad2c28cd2850d903 |
completed | May 9, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff30ed9a5481909cefad0ef877a2e9 |
completed | May 9, 2026, 1:04 p.m. |
Created at: April 10, 2026, 3:34 a.m.