Triple
T1737528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volyn Oblast |
E37952
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Volodymyr
Volodymyr is a historic city in western Ukraine known for its medieval heritage and role as a former center of the Volhynia region.
|
E210478
|
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: Volodymyr | Statement: [Volyn Oblast, containsCity, Volodymyr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volodymyr Context triple: [Volyn Oblast, containsCity, Volodymyr]
-
A.
Oleksiy
Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
-
B.
Oleksandr
Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
-
C.
Yevhen Koshovyi
Yevhen Koshovyi is a Ukrainian comedian and actor best known for his long-time work with the popular comedy troupe and TV show "Kvartal 95."
-
D.
Vladyslav Kryklii
Vladyslav Kryklii is a Ukrainian politician who served as the country’s Minister of Infrastructure in the late 2010s.
-
E.
Oleksiy Orzhel
Oleksiy Orzhel is a Ukrainian politician and energy expert who served as Minister of Energy and Environmental Protection in the government of Oleksiy Honcharuk.
- 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: Volodymyr Triple: [Volyn Oblast, containsCity, Volodymyr]
Generated description
Volodymyr is a historic city in western Ukraine known for its medieval heritage and role as a former center of the Volhynia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Volodymyr Target entity description: Volodymyr is a historic city in western Ukraine known for its medieval heritage and role as a former center of the Volhynia region.
-
A.
Oleksiy
Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
-
B.
Oleksandr
Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
-
C.
Yevhen Koshovyi
Yevhen Koshovyi is a Ukrainian comedian and actor best known for his long-time work with the popular comedy troupe and TV show "Kvartal 95."
-
D.
Vladyslav Kryklii
Vladyslav Kryklii is a Ukrainian politician who served as the country’s Minister of Infrastructure in the late 2010s.
-
E.
Oleksiy Orzhel
Oleksiy Orzhel is a Ukrainian politician and energy expert who served as Minister of Energy and Environmental Protection in the government of Oleksiy Honcharuk.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a47cd481909c211e4da7f5dfe9 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf39b08881908d798b3eae51dbae |
completed | March 8, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69addfb3860481908ff4eebfa3d06fa7 |
completed | March 8, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade027072481909b707bbfc47da4de |
completed | March 8, 2026, 8:46 p.m. |
Created at: March 4, 2026, 7:30 p.m.