Triple
T14931249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharkov Governorate |
E372268
|
entity |
| Predicate | includedCity |
P8465
|
FINISHED |
| Object |
Starobilsk
Starobilsk is a historic town in eastern Ukraine, known as a regional center in Luhansk Oblast with roots dating back to the Russian Empire.
|
E1128764
|
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: Starobilsk | Statement: [Kharkov Governorate, includedCity, Starobilsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starobilsk Context triple: [Kharkov Governorate, includedCity, Starobilsk]
-
A.
Molodechno
Molodechno is a city in northwestern Belarus that serves as an important cultural and transportation hub within the Minsk Region.
-
B.
Shakhtinsk
Shakhtinsk is an industrial town in central Kazakhstan known primarily for its coal mining activities.
-
C.
Horlivka
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
D.
Pavlohrad
Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
-
E.
Berdiansk
Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
- 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: Starobilsk Triple: [Kharkov Governorate, includedCity, Starobilsk]
Generated description
Starobilsk is a historic town in eastern Ukraine, known as a regional center in Luhansk Oblast with roots dating back to the Russian Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Starobilsk Target entity description: Starobilsk is a historic town in eastern Ukraine, known as a regional center in Luhansk Oblast with roots dating back to the Russian Empire.
-
A.
Molodechno
Molodechno is a city in northwestern Belarus that serves as an important cultural and transportation hub within the Minsk Region.
-
B.
Shakhtinsk
Shakhtinsk is an industrial town in central Kazakhstan known primarily for its coal mining activities.
-
C.
Horlivka
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
D.
Pavlohrad
Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
-
E.
Berdiansk
Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8ac6d08190809045a6d00a3d47 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7fe58ba481908ac8e4112c28c279 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe80be100481908dcf07b683fc1411 |
completed | May 9, 2026, 12:33 a.m. |
Created at: April 10, 2026, 2:36 a.m.