Triple
T15722895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uglich |
E381144
|
entity |
| Predicate | administrativeCenterOf |
P383
|
FINISHED |
| Object | Uglichsky District |
—
|
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: Uglichsky District | Statement: [Uglich, administrativeCenterOf, Uglichsky District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uglichsky District Context triple: [Uglich, administrativeCenterOf, Uglichsky District]
-
A.
Uglichsky District
chosen
Uglichsky District is an administrative district in Yaroslavl Oblast, Russia, centered around the historic town of Uglich.
-
B.
Urzhumsky District
Urzhumsky District is an administrative and municipal district in Kirov Oblast, Russia, centered around the town of Urzhum and comprising surrounding rural territories.
-
C.
Butyrsky District
Butyrsky District is a residential and historically industrial administrative district in the north of Moscow, Russia.
-
D.
Kirillovsky District
Kirillovsky District is an administrative district in Vologda Oblast, Russia, known for its historic towns, monasteries, and northern Russian cultural heritage.
-
E.
Gagarinsky District
Gagarinsky District is an administrative district in Moscow, Russia, known for its residential areas, educational institutions, and major transport routes.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
Created at: April 10, 2026, 4:45 a.m.