Triple
T19624143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usolye-Sibirskoye |
E471088
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Усолье-Сибирское |
—
|
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: Усолье-Сибирское | Statement: [Usolye-Sibirskoye, hasNameInLanguage, Усолье-Сибирское]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Усолье-Сибирское Context triple: [Usolye-Sibirskoye, hasNameInLanguage, Усолье-Сибирское]
-
A.
Usolye-Sibirskoye
chosen
Usolye-Sibirskoye is an industrial city in southeastern Siberia, Russia, situated on the Angara River within Irkutsk Oblast.
-
B.
Ust-Sema
Ust-Sema is a rural settlement in Russia’s Altai Republic, situated along the Katun River and known as a gateway to the region’s mountainous natural attractions.
-
C.
Ust-Ilimsk
Ust-Ilimsk is a Siberian city in Russia known for its large hydroelectric power station on the Angara River and its role in the region’s timber and energy industries.
-
D.
Ust-Kulom
Ust-Kulom is a rural locality and administrative center in the Komi Republic of Russia, situated along the Vychegda River.
-
E.
Ust-Luga
Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e8695c81909268c5a91cdbb7fa |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.