Triple
T10065732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luhansk Oblast |
E213097
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kadiivka
Kadiivka is an industrial city in eastern Ukraine’s Donbas region, historically known for its coal mining and heavy industry.
|
E840333
|
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: Kadiivka | Statement: [Luhansk Oblast, containsCity, Kadiivka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadiivka Context triple: [Luhansk Oblast, containsCity, Kadiivka]
-
A.
Koriukivka
Koriukivka is a small town in northern Ukraine known for its tragic World War II massacre and its role as a local administrative and cultural center.
-
B.
Makiyivka
Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
-
C.
Andrushivka
Andrushivka is a small urban locality in northern Ukraine, situated within the administrative region of Zhytomyr Oblast.
-
D.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
-
E.
Shepetivka
Shepetivka is a city in western Ukraine known as the birthplace of prominent Russian politician Valentina Matviyenko.
- 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: Kadiivka Triple: [Luhansk Oblast, containsCity, Kadiivka]
Generated description
Kadiivka is an industrial city in eastern Ukraine’s Donbas region, historically known for its coal mining and heavy industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kadiivka Target entity description: Kadiivka is an industrial city in eastern Ukraine’s Donbas region, historically known for its coal mining and heavy industry.
-
A.
Koriukivka
Koriukivka is a small town in northern Ukraine known for its tragic World War II massacre and its role as a local administrative and cultural center.
-
B.
Makiyivka
Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
-
C.
Andrushivka
Andrushivka is a small urban locality in northern Ukraine, situated within the administrative region of Zhytomyr Oblast.
-
D.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
-
E.
Shepetivka
Shepetivka is a city in western Ukraine known as the birthplace of prominent Russian politician Valentina Matviyenko.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff51b108190b6759f651d4ba2d2 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b630ca008190a337660ad8c9d57e |
completed | April 5, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d2b78f3c248190b104937e2d669882 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b84a26a481908ab2705d5883cfce |
completed | April 5, 2026, 7:30 p.m. |
Created at: March 30, 2026, 8:58 p.m.