Triple
T18946913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angarsk |
E463537
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Irkutsk Oblast |
—
|
NE NERFINISHED |
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: Irkutsk Oblast | Statement: [Angarsk, locatedIn, Irkutsk Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irkutsk Oblast Context triple: [Angarsk, locatedIn, Irkutsk Oblast]
-
A.
Irkutsk Oblast
chosen
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.
-
B.
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.
-
C.
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.
-
D.
Yakutsk region
The Yakutsk region is a vast, sparsely populated area in northeastern Siberia, Russia, known for its extreme subarctic climate and rich natural resources.
-
E.
Tomsk Oblast
Tomsk Oblast is a large administrative region in southwestern Siberia, Russia, known for its vast taiga forests, significant natural resources, and diverse indigenous populations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5402ad881908add559249278895 |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.