Triple
T4933581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyiv Oblast |
E110754
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Irpin
Irpin is a city in northern Ukraine, located near Kyiv, known for its rapid suburban development and the heavy damage it suffered during the 2022 Russian invasion.
|
E482776
|
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: Irpin | Statement: [Kyiv Oblast, contains, Irpin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irpin Context triple: [Kyiv Oblast, contains, Irpin]
-
A.
Puławy
Puławy is a historic town in eastern Poland known for its classical palace-and-park complex and role as an important cultural and scientific center.
-
B.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
C.
Pryluky
Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
-
D.
Mazury
Mazury, also known as Masuria, is a picturesque lake district in northeastern Poland famed for its thousands of lakes, forests, and outdoor recreation opportunities.
-
E.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
- 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: Irpin Triple: [Kyiv Oblast, contains, Irpin]
Generated description
Irpin is a city in northern Ukraine, located near Kyiv, known for its rapid suburban development and the heavy damage it suffered during the 2022 Russian invasion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irpin Target entity description: Irpin is a city in northern Ukraine, located near Kyiv, known for its rapid suburban development and the heavy damage it suffered during the 2022 Russian invasion.
-
A.
Puławy
Puławy is a historic town in eastern Poland known for its classical palace-and-park complex and role as an important cultural and scientific center.
-
B.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
C.
Pryluky
Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
-
D.
Mazury
Mazury, also known as Masuria, is a picturesque lake district in northeastern Poland famed for its thousands of lakes, forests, and outdoor recreation opportunities.
-
E.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70652d988190ba4a493db510952e |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81c5f8ec8190834c624bae17adff |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be845a59a881909d69ea10d0563b5a |
completed | March 21, 2026, 11:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be84ea51288190bb72fd95a7e4f9d4 |
completed | March 21, 2026, 11:45 a.m. |
Created at: March 20, 2026, 1:30 p.m.