Triple
T2218300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolotnikov Rebellion |
E48081
|
entity |
| Predicate | significantPlace |
P1098
|
FINISHED |
| Object |
Kaluga
Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
|
E314023
|
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: Kaluga | Statement: [Bolotnikov Rebellion, significantPlace, Kaluga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaluga Context triple: [Bolotnikov Rebellion, significantPlace, Kaluga]
-
A.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
B.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
C.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
D.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
-
E.
Cherepovets
Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
- 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: Kaluga Triple: [Bolotnikov Rebellion, significantPlace, Kaluga]
Generated description
Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaluga Target entity description: Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
-
A.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
B.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
C.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
D.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
-
E.
Cherepovets
Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc010bd4c8190ace293b37eac1de5 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc25d9348190a216c53d1c7f8820 |
completed | March 11, 2026, 5:22 a.m. |
| NEDg | Description generation | batch_69b0fcd5a03881908ad2fc97624c3bbc |
completed | March 11, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fd3333288190a47f26a3941b9fe4 |
completed | March 11, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:46 p.m.