Triple
T18308380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirovsky District |
E438549
|
entity |
| Predicate | containsUrbanTypeSettlement |
P11388
|
FINISHED |
| Object |
Pryladovsk
Pryladovsk is an urban-type settlement located within the Kirovsky District of Ukraine.
|
E1316978
|
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: Pryladovsk | Statement: [Kirovsky District, containsUrbanTypeSettlement, Pryladovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pryladovsk Context triple: [Kirovsky District, containsUrbanTypeSettlement, Pryladovsk]
-
A.
Prieska
Prieska is a small town in South Africa’s Northern Cape province, situated on the banks of the Orange River and serving as a regional agricultural and transport hub.
-
B.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
-
C.
Plechý
Plechý is a prominent mountain on the Czech-Austrian border known as the highest peak of the Bohemian Forest range.
-
D.
Pribylina
Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
-
E.
Prabuty
Prabuty is a historic town in northern Poland known for its medieval heritage and location in the lake-dotted landscape of the former Warmia-Masuria 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: Pryladovsk Triple: [Kirovsky District, containsUrbanTypeSettlement, Pryladovsk]
Generated description
Pryladovsk is an urban-type settlement located within the Kirovsky District of Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pryladovsk Target entity description: Pryladovsk is an urban-type settlement located within the Kirovsky District of Ukraine.
-
A.
Prieska
Prieska is a small town in South Africa’s Northern Cape province, situated on the banks of the Orange River and serving as a regional agricultural and transport hub.
-
B.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
-
C.
Plechý
Plechý is a prominent mountain on the Czech-Austrian border known as the highest peak of the Bohemian Forest range.
-
D.
Pribylina
Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
-
E.
Prabuty
Prabuty is a historic town in northern Poland known for its medieval heritage and location in the lake-dotted landscape of the former Warmia-Masuria 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50215e0c48190a4679d432b6ee596 |
completed | April 19, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb64223481909dd8f28ce1cf82ef |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bc7f702c81909303aeb4e26507fa |
completed | May 12, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd792b7c8190a41cccc308e252ad |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:35 a.m.