Triple
T5019881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smolensk Oblast |
E112824
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Safonovo
Safonovo is a small industrial town in western Russia known for its role in the regional energy and manufacturing sectors within Smolensk Oblast.
|
E516580
|
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: Safonovo | Statement: [Smolensk Oblast, hasCity, Safonovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safonovo Context triple: [Smolensk Oblast, hasCity, Safonovo]
-
A.
Konakovo
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
-
B.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
C.
Terekhovo
Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
-
D.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
E.
Feodorovsky Gorodok
Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
- 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: Safonovo Triple: [Smolensk Oblast, hasCity, Safonovo]
Generated description
Safonovo is a small industrial town in western Russia known for its role in the regional energy and manufacturing sectors within Smolensk Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Safonovo Target entity description: Safonovo is a small industrial town in western Russia known for its role in the regional energy and manufacturing sectors within Smolensk Oblast.
-
A.
Konakovo
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
-
B.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
C.
Terekhovo
Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
-
D.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
E.
Feodorovsky Gorodok
Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf32ff26fc81909a8fc0f08eec0dbd |
completed | March 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69bf33b60cac8190b62210b23ce90d06 |
completed | March 22, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf341dab94819095fe429560cdbbc5 |
completed | March 22, 2026, 12:13 a.m. |
Created at: March 20, 2026, 1:36 p.m.