Triple
T19278884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kupiansk |
E482130
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kupiansk-Vuzlovyi
Kupiansk-Vuzlovyi is an urban-type settlement and important railway junction in Kharkiv Oblast, eastern Ukraine.
|
E1367693
|
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: Kupiansk-Vuzlovyi | Statement: [Kupiansk, hasSubdivision, Kupiansk-Vuzlovyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kupiansk-Vuzlovyi Context triple: [Kupiansk, hasSubdivision, Kupiansk-Vuzlovyi]
-
A.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
-
B.
Vasylkivska
Vasylkivska is a station on the Kyiv Metro system in Ukraine.
-
C.
Rubizhne
Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
-
D.
Petrykiv
Petrykiv is a surname of likely Eastern European origin, associated with individuals or places bearing a similar name such as Petrykiv.
-
E.
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.
- 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: Kupiansk-Vuzlovyi Triple: [Kupiansk, hasSubdivision, Kupiansk-Vuzlovyi]
Generated description
Kupiansk-Vuzlovyi is an urban-type settlement and important railway junction in Kharkiv Oblast, eastern Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kupiansk-Vuzlovyi Target entity description: Kupiansk-Vuzlovyi is an urban-type settlement and important railway junction in Kharkiv Oblast, eastern Ukraine.
-
A.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
-
B.
Vasylkivska
Vasylkivska is a station on the Kyiv Metro system in Ukraine.
-
C.
Rubizhne
Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
-
D.
Petrykiv
Petrykiv is a surname of likely Eastern European origin, associated with individuals or places bearing a similar name such as Petrykiv.
-
E.
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.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbf817c819098745ed365cda4a9 |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e7929a081908362870dcfaeec4c |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070ef513888190b8c9f8c2de36f234 |
completed | May 15, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070fe766d081909453b1f8563817e8 |
completed | May 15, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:30 p.m.