Triple
T18369978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komi-Permyak Okrug |
E446155
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Yurlinsky District |
—
|
NE NERFINISHED |
How this triple was built (3 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: Yurlinsky District | Statement: [Komi-Permyak Okrug, borderedBy, Yurlinsky District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yurlinsky District Context triple: [Komi-Permyak Okrug, borderedBy, Yurlinsky District]
-
A.
Yurinsky District
Yurinsky District is an administrative and municipal district in the Mari El Republic of Russia, characterized by its rural settlements and small population.
-
B.
Noginsky District
Noginsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Noginsk and encompassing surrounding settlements.
-
C.
Kalachyovsky District
Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
-
D.
Zavitinsky District
Zavitinsky District is an administrative and municipal district in Amur Oblast, Russia, centered around the town of Zavitinsk.
-
E.
Yusvinsky District
Yusvinsky District is an administrative district in Perm Krai, Russia, known for its rural character and location within the historical Komi-Permyak area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yurlinsky District Target entity description: Yurlinsky District is an administrative and municipal district in Perm Krai, Russia, known for its rural character and location in the western foothills of the Ural region.
-
A.
Yurinsky District
Yurinsky District is an administrative and municipal district in the Mari El Republic of Russia, characterized by its rural settlements and small population.
-
B.
Noginsky District
Noginsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Noginsk and encompassing surrounding settlements.
-
C.
Kalachyovsky District
Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
-
D.
Zavitinsky District
Zavitinsky District is an administrative and municipal district in Amur Oblast, Russia, centered around the town of Zavitinsk.
-
E.
Yusvinsky District
Yusvinsky District is an administrative district in Perm Krai, Russia, known for its rural character and location within the historical Komi-Permyak area.
- F. None of above. chosen
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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51751e4288190873bcc4dc140ac16 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:44 a.m.