Triple
T8623879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gagarinsky District, Smolensk Oblast |
E204235
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Uvarovo
Uvarovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
|
E747431
|
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: Uvarovo | Statement: [Gagarinsky District, Smolensk Oblast, hasVillage, Uvarovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uvarovo Context triple: [Gagarinsky District, Smolensk Oblast, hasVillage, Uvarovo]
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Putilovo
Putilovo is a Russian locality historically notable for its role as a key site during the Bolotnikov Rebellion in the early 17th century.
-
C.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
-
D.
Milevsko
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
-
E.
Sertolovo
Sertolovo is a town in northwestern Russia that serves primarily as a residential and military community near Saint Petersburg.
- 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: Uvarovo Triple: [Gagarinsky District, Smolensk Oblast, hasVillage, Uvarovo]
Generated description
Uvarovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uvarovo Target entity description: Uvarovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Putilovo
Putilovo is a Russian locality historically notable for its role as a key site during the Bolotnikov Rebellion in the early 17th century.
-
C.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
-
D.
Milevsko
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
-
E.
Sertolovo
Sertolovo is a town in northwestern Russia that serves primarily as a residential and military community near Saint Petersburg.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbe6a7e48190a166a31dccd8ac16 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebe299de881909dcbb37b2b718201 |
completed | April 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebedb7f0c8190be98ffec07ce6fbc |
completed | April 2, 2026, 7:09 p.m. |
Created at: March 30, 2026, 6:26 p.m.