Triple
T8762383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomsk |
E208233
|
entity |
| Predicate | federalSubject |
P25387
|
FINISHED |
| Object | Tomsk Oblast |
E406019
|
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: Tomsk Oblast | Statement: [Tomsk, federalSubject, Tomsk Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomsk Oblast Context triple: [Tomsk, federalSubject, Tomsk Oblast]
-
A.
Tomsk Oblast
chosen
Tomsk Oblast is a large administrative region in southwestern Siberia, Russia, known for its vast taiga forests, significant natural resources, and diverse indigenous populations.
-
B.
Novosibirsk Oblast
Novosibirsk Oblast is a federal subject of Russia in southwestern Siberia, centered on the major city of Novosibirsk and known as an important industrial, scientific, and transportation hub.
-
C.
Omsk Oblast
Omsk Oblast is a federal subject of southwestern Siberia in Russia, centered on the city of Omsk and known for its industrial base and agricultural production.
-
D.
Irkutsk Oblast
Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
-
E.
Tyumen Oblast
Tyumen Oblast is a large federal subject in western Siberia, Russia, known for its vast oil and gas reserves and key role in the country’s energy industry.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfc85e481909a7ce80c5022e6e9 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1ea9d96ac81908115489681070bcc |
completed | April 5, 2026, 4:52 a.m. |
Created at: March 30, 2026, 6:40 p.m.