Triple
T3031404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pskov Oblast |
E82903
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Novorzhevsky District |
E335551
|
NE FINISHED |
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: Novorzhevsky District | Statement: [Pskov Oblast, contains, Novorzhevsky District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novorzhevsky District Context triple: [Pskov Oblast, contains, Novorzhevsky District]
-
A.
Odintsovsky District
Odintsovsky District is an administrative district in Moscow Oblast, Russia, known for its affluent suburbs and official residences, including the presidential residence at Novo-Ogaryovo.
-
B.
Dmitrovsky District
Dmitrovsky District is an administrative district in Moscow Oblast, Russia, centered around the historic town of Dmitrov.
-
C.
Mozhaysky District
Mozhaysky District is a municipal district of Moscow located within the city’s Western Administrative Okrug.
-
D.
Nevelsky District
chosen
Nevelsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Nevel.
-
E.
Meshchansky District
Meshchansky District is a central Moscow neighborhood known for its historic architecture, government institutions, and proximity to major cultural and commercial areas of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aee2fec81908116939a8d773fc4 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261e211c0819094ef28112bcad250 |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:01 p.m.