Triple
T23406010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solovyevsk–Ereentsav |
E559935
|
entity |
| Predicate | connectsSettlement |
P8239
|
FINISHED |
| Object |
Solovyevsk
Solovyevsk is a rural locality in Russia, known primarily as a border settlement near the Russian–Mongolian frontier.
|
E1584262
|
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: Solovyevsk | Statement: [Solovyevsk–Ereentsav, connectsSettlement, Solovyevsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solovyevsk Context triple: [Solovyevsk–Ereentsav, connectsSettlement, Solovyevsk]
-
A.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
B.
Zhigulevsk
Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
-
C.
Volodarsk
Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
-
D.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
E.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
- 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: Solovyevsk Triple: [Solovyevsk–Ereentsav, connectsSettlement, Solovyevsk]
Generated description
Solovyevsk is a rural locality in Russia, known primarily as a border settlement near the Russian–Mongolian frontier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solovyevsk Target entity description: Solovyevsk is a rural locality in Russia, known primarily as a border settlement near the Russian–Mongolian frontier.
-
A.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
B.
Zhigulevsk
Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
-
C.
Volodarsk
Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
-
D.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
E.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e364548190b98dc09240fba58e |
completed | April 29, 2026, 6:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5df67cac8190868ab0068248be07 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c5ff391208190a1e5e5d3604de8fb |
completed | May 19, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c609b4e108190a8abe634d326f62d |
completed | May 19, 2026, 1:07 p.m. |
Created at: April 17, 2026, 5:38 p.m.