Triple
T17755563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podporozhsky District |
E443226
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Podporozhye |
—
|
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: Podporozhye | Statement: [Podporozhsky District, administrativeCenter, Podporozhye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Podporozhye Context triple: [Podporozhsky District, administrativeCenter, Podporozhye]
-
A.
Podporozhye
chosen
Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
-
B.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
C.
Ustyuzhna
Ustyuzhna is a historic town in Vologda Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
-
D.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
E.
Belorechensk
Belorechensk is a town in Russia’s Krasnodar Krai known for its industrial enterprises and location near the Belaya River in the North Caucasus region.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841e7050819083a4e638ca7484f7 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.