Triple
T11736378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alchevsk |
E279036
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Kommunarsk
Kommunarsk is the former name of the industrial city now known as Alchevsk in eastern Ukraine.
|
E943486
|
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: Kommunarsk | Statement: [Alchevsk, formerName, Kommunarsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kommunarsk Context triple: [Alchevsk, formerName, Kommunarsk]
-
A.
Kommunar
Kommunar is a small town in Leningrad Oblast, Russia, known for its location along the Izhora River southeast of Saint Petersburg.
-
B.
Kommunarka Settlement
Kommunarka Settlement is a municipal area in New Moscow, Russia, known for its rapid residential development and integration into Moscow’s expanding metro network.
-
C.
Komen
Komen is the surname associated with Susan G. Komen, whose name is borne by a major U.S. breast cancer advocacy and research organization.
-
D.
Komen
Komen is a municipality in western Slovenia’s Littoral region, known for its karst landscape and proximity to the Italian border.
-
E.
Kommunarka district
Kommunarka district is a rapidly developing residential and commercial area in the New Moscow territory of Moscow, Russia.
- 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: Kommunarsk Triple: [Alchevsk, formerName, Kommunarsk]
Generated description
Kommunarsk is the former name of the industrial city now known as Alchevsk in eastern Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kommunarsk Target entity description: Kommunarsk is the former name of the industrial city now known as Alchevsk in eastern Ukraine.
-
A.
Kommunar
Kommunar is a small town in Leningrad Oblast, Russia, known for its location along the Izhora River southeast of Saint Petersburg.
-
B.
Kommunarka Settlement
Kommunarka Settlement is a municipal area in New Moscow, Russia, known for its rapid residential development and integration into Moscow’s expanding metro network.
-
C.
Komen
Komen is the surname associated with Susan G. Komen, whose name is borne by a major U.S. breast cancer advocacy and research organization.
-
D.
Komen
Komen is a municipality in western Slovenia’s Littoral region, known for its karst landscape and proximity to the Italian border.
-
E.
Kommunarka district
Kommunarka district is a rapidly developing residential and commercial area in the New Moscow territory of Moscow, Russia.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019b318188190bfb7effcf42974d2 |
completed | April 28, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69f0319271788190a105828ae7582668 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05a44dcb88190a0bb57b0c8fef6b9 |
completed | April 28, 2026, 6:57 a.m. |
Created at: April 8, 2026, 9:41 p.m.