Triple
T4970159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluga Oblast |
E111628
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Borovsk
Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
|
E498164
|
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: Borovsk | Statement: [Kaluga Oblast, containsCity, Borovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borovsk Context triple: [Kaluga Oblast, containsCity, Borovsk]
-
A.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
B.
Belozersk
Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
-
C.
Ostashkov
Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
-
D.
Priozersk
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
-
E.
Baranavichy
Baranavichy is a significant industrial and railway hub city in western Belarus.
- 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: Borovsk Triple: [Kaluga Oblast, containsCity, Borovsk]
Generated description
Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borovsk Target entity description: Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
-
A.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
B.
Belozersk
Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
-
C.
Ostashkov
Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
-
D.
Priozersk
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
-
E.
Baranavichy
Baranavichy is a significant industrial and railway hub city in western Belarus.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd721221b88190916feb9b4f049195 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfa8578c8190948a1597ebac3ca6 |
completed | March 21, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_69bed17485688190a0666b902e162564 |
completed | March 21, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed1cae2cc819088d322c47945581b |
completed | March 21, 2026, 5:13 p.m. |
Created at: March 20, 2026, 1:33 p.m.