Triple
T13827763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konakovo |
E332297
|
entity |
| Predicate | hasPowerStation |
P17850
|
FINISHED |
| Object | Konakovo GRES |
E332297
|
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: Konakovo GRES | Statement: [Konakovo, hasPowerStation, Konakovo GRES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konakovo GRES Context triple: [Konakovo, hasPowerStation, Konakovo GRES]
-
A.
Konkovo
Konkovo is a Moscow Metro station on the Kaluzhsko–Rizhskaya line serving the Konkovo District in the city’s southwest.
-
B.
Konakovo
chosen
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
-
C.
Krolevets
Krolevets is a small historic city in northeastern Ukraine known for its traditional weaving crafts and location within Sumy Oblast.
-
D.
Novouralsk
Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
-
E.
Krasnogorsk
Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
- 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_69f7b8ea22c081909cc34f1030a8589b |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.