Triple
T9816409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oryol Oblast |
E238415
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Bolkhov
Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
|
E827183
|
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: Bolkhov | Statement: [Oryol Oblast, hasTown, Bolkhov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolkhov Context triple: [Oryol Oblast, hasTown, Bolkhov]
-
A.
Ostashkov
Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
-
B.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
C.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
D.
Borovsk
Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
-
E.
Belozersk
Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
- 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: Bolkhov Triple: [Oryol Oblast, hasTown, Bolkhov]
Generated description
Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bolkhov Target entity description: Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
-
A.
Ostashkov
Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
-
B.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
C.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
D.
Borovsk
Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
-
E.
Belozersk
Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f4a1548190a5afc5ee0d7da392 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eacbc2348190bac1cc7f41a389b9 |
completed | April 5, 2026, 4:53 a.m. |
| NEDg | Description generation | batch_69d1eb79be388190853e0e7c29287294 |
completed | April 5, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ebf0a99081908ae0c4bceadc42bc |
completed | April 5, 2026, 4:58 a.m. |
Created at: March 30, 2026, 8:30 p.m.