Triple
T4314914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Left-bank Ukraine |
E94163
|
entity |
| Predicate | containsHistoricalCity |
P43430
|
FINISHED |
| Object |
Lubny
Lubny is a historic city in central Ukraine known for its role in regional trade and culture since medieval times.
|
E443583
|
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: Lubny | Statement: [Left-bank Ukraine, containsHistoricalCity, Lubny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubny Context triple: [Left-bank Ukraine, containsHistoricalCity, Lubny]
-
A.
Berezhany
Berezhany is a historic town in western Ukraine’s Ternopil Oblast, known for its well-preserved Renaissance castle and multicultural heritage.
-
B.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
C.
Vyshhorod
Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
-
D.
Pryluky
Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
-
E.
Horokhiv
Horokhiv is a small town in western Ukraine known for its location within the historic Volyn 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: Lubny Triple: [Left-bank Ukraine, containsHistoricalCity, Lubny]
Generated description
Lubny is a historic city in central Ukraine known for its role in regional trade and culture since medieval times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lubny Target entity description: Lubny is a historic city in central Ukraine known for its role in regional trade and culture since medieval times.
-
A.
Berezhany
Berezhany is a historic town in western Ukraine’s Ternopil Oblast, known for its well-preserved Renaissance castle and multicultural heritage.
-
B.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
C.
Vyshhorod
Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
-
D.
Pryluky
Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
-
E.
Horokhiv
Horokhiv is a small town in western Ukraine known for its location within the historic Volyn 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3563eab24819088add9180af2ce3c |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6373b66a481909f66ea8b8659d54a |
completed | March 15, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69b638cef6808190801e9aad98142272 |
completed | March 15, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b639277a1481908f637140dded2791 |
completed | March 15, 2026, 4:44 a.m. |
Created at: March 12, 2026, 11:12 p.m.