Triple
T4970180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluga Oblast |
E111628
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kaluga |
E314023
|
NE FINISHED |
How this triple was built (2 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: [Kaluga Oblast, namedAfter, Kaluga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaluga Context triple: [Kaluga Oblast, namedAfter, Kaluga]
-
A.
Kaluga
chosen
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.
-
B.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
C.
Kirov
Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
-
D.
Oryol
Oryol was a notable warship of the Imperial Russian Navy, recognized for its role in Russia’s early modern naval history.
-
E.
Tambov
Tambov is a city in western Russia known as an administrative, cultural, and industrial center of the Tambov Oblast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0a127b0e48190880ee84f45bed359 |
completed | March 23, 2026, 2:10 a.m. |
Created at: March 20, 2026, 1:33 p.m.