Triple
T1879319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donbas |
E39814
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Alchevsk
Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
|
E279036
|
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: Alchevsk | Statement: [Donbas, hasCity, Alchevsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alchevsk Context triple: [Donbas, hasCity, Alchevsk]
-
A.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
B.
Taganrog
Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
-
C.
Tikhvin
Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
-
D.
Berdyansk
Berdyansk is a port city in southeastern Ukraine on the northern coast of the Sea of Azov, known for its maritime trade, beaches, and resort facilities.
-
E.
Novocherkassk
Novocherkassk is a historic city in Russia’s Rostov Oblast that served as a key Cossack and military administrative 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: Alchevsk Triple: [Donbas, hasCity, Alchevsk]
Generated description
Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alchevsk Target entity description: Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
-
A.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
B.
Taganrog
Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
-
C.
Tikhvin
Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
-
D.
Berdyansk
Berdyansk is a port city in southeastern Ukraine on the northern coast of the Sea of Azov, known for its maritime trade, beaches, and resort facilities.
-
E.
Novocherkassk
Novocherkassk is a historic city in Russia’s Rostov Oblast that served as a key Cossack and military administrative 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f8e9f08190a210440823fad69e |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af652eb8ac81908ba29989c1197daf |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af665e21e881908e0b45301a93c906 |
completed | March 10, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af66b41cf08190b227b54031371b7e |
completed | March 10, 2026, 12:32 a.m. |
Created at: March 4, 2026, 7:34 p.m.