Triple
T4970158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluga Oblast |
E111628
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Maloyaroslavets
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
|
E509982
|
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: Maloyaroslavets | Statement: [Kaluga Oblast, containsCity, Maloyaroslavets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maloyaroslavets Context triple: [Kaluga Oblast, containsCity, Maloyaroslavets]
-
A.
Luzhitsy
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
-
B.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
C.
Pestovo
Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
-
D.
Kozelsk
Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
-
E.
Sergiyev
Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
- 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: Maloyaroslavets Triple: [Kaluga Oblast, containsCity, Maloyaroslavets]
Generated description
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maloyaroslavets Target entity description: Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
-
A.
Luzhitsy
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
-
B.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
C.
Pestovo
Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
-
D.
Kozelsk
Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
-
E.
Sergiyev
Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
- 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_69bf10b0ec0c8190bcd4503dd09667c7 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf117894d481909817346060a28d07 |
completed | March 21, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1267a0a88190a558937fa7776ed7 |
completed | March 21, 2026, 9:49 p.m. |
Created at: March 20, 2026, 1:33 p.m.