Triple
T4159793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nart sagas |
E91502
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Uryzmag
Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
|
E417323
|
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: Uryzmag | Statement: [Nart sagas, featuresCharacter, Uryzmag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uryzmag Context triple: [Nart sagas, featuresCharacter, Uryzmag]
-
A.
Tyrnyauz
Tyrnyauz is a mountainous town in southwestern Russia known for its former tungsten-molybdenum mining industry and location in the North Caucasus.
-
B.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
-
C.
Uyar
Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
-
D.
Dzyarzhynskaya Hara
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
-
E.
Otradny
Otradny is a town in Samara Oblast, Russia, known for its industrial activities and location within the Volga economic region.
- 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: Uryzmag Triple: [Nart sagas, featuresCharacter, Uryzmag]
Generated description
Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uryzmag Target entity description: Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
-
A.
Tyrnyauz
Tyrnyauz is a mountainous town in southwestern Russia known for its former tungsten-molybdenum mining industry and location in the North Caucasus.
-
B.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
-
C.
Uyar
Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
-
D.
Dzyarzhynskaya Hara
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
-
E.
Otradny
Otradny is a town in Samara Oblast, Russia, known for its industrial activities and location within the Volga economic region.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af029454d08190b7ff32776081fabc |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f40678481908894ff315932a610 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57ff73cf88190b103db0694c1a923 |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58094c690819080dbde068ff1b119 |
completed | March 14, 2026, 3:36 p.m. |
Created at: March 9, 2026, 3:44 p.m.