Triple
T13827758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konakovo |
E332297
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Konakovsky District |
E1212529
|
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: Konakovsky District | Statement: [Konakovo, isPartOf, Konakovsky District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konakovsky District Context triple: [Konakovo, isPartOf, Konakovsky District]
-
A.
Konakovsky District
chosen
Konakovsky District is an administrative district (raion) of Tver Oblast in Russia, located along the Volga River and centered on the town of Konakovo.
-
B.
Chaunsky District
Chaunsky District is an administrative district in Russia’s Chukotka Autonomous Okrug, known for encompassing the Arctic port town of Pevek.
-
C.
Kimrsky District
Kimrsky District is an administrative district in Tver Oblast, Russia, centered around the town of Kimry and encompassing the surrounding rural areas.
-
D.
Chudovsky District
Chudovsky District is an administrative and municipal district in Novgorod Oblast, Russia, centered around the town of Chudovo.
-
E.
Engelsky District
Engelsky District is an administrative district in Saratov Oblast, Russia, centered around the city of Engels on the Volga River.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004568c93c81908450887f72de8466 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 9, 2026, 10:13 p.m.