Triple
T23721534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Югорский Шар |
E586155
|
entity |
| Predicate | находитсяКЮгуОт |
P153698
|
FINISHED |
| Object |
Новая Земля
Новая Земля — это арктический архипелаг России в Северном Ледовитом океане, известный суровым климатом, военными полигонами и испытаниями ядерного оружия в советский период.
|
E1601632
|
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: Новая Земля | Statement: [Югорский Шар, находитсяКЮгуОт, Новая Земля]
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: Новая Земля Triple: [Югорский Шар, находитсяКЮгуОт, Новая Земля]
Generated description
Новая Земля — это арктический архипелаг России в Северном Ледовитом океане, известный суровым климатом, военными полигонами и испытаниями ядерного оружия в советский период.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: находитсяКЮгуОт Context triple: [Югорский Шар, находитсяКЮгуОт, Новая Земля]
-
A.
находитсяК
Indicates that one entity is located at, in, or near another entity.
-
B.
устьеНаходитсяВ
Indicates that the mouth of a river or stream is located within or at a specified body of water or geographic area.
-
C.
находитсяВСтране
Indicates that something is located within the territory or borders of a specific country.
-
D.
расположенаНа
Indicates that one entity is located on the surface or area of another entity.
-
E.
locatedOnSideOfKyushu
Indicates that one entity is situated on a particular side or region of Kyushu.
- F. None of above. chosen
Provenance (7 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91177c08190bea6e62ed13e2495 |
completed | April 29, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f53bd6bf08190abe20264c5e8c6ce |
completed | May 21, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_6a0f57af9e4881909ba1a7dddf12e179 |
completed | May 21, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f588a0d308190b66fda397e413f44 |
completed | May 21, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:01 p.m.