Triple
T22325451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perm Governorate |
E551889
|
entity |
| Predicate | includedCity |
P8465
|
FINISHED |
| Object | Krasnoufimsk |
—
|
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: Krasnoufimsk | Statement: [Perm Governorate, includedCity, Krasnoufimsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krasnoufimsk Context triple: [Perm Governorate, includedCity, Krasnoufimsk]
-
A.
Krasnoufimsk
chosen
Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
-
B.
Mariinskoye
Mariinskoye is a rural settlement located within Nikolaevsky District in Russia.
-
C.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
D.
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.
-
E.
Aniva
Aniva is a port city on the southern coast of Sakhalin Island in Russia, known for its fishing industry and maritime activities.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15768696481909be124e86c23d551 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.