Triple
T11276559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivankovo Hydroelectric Station |
E266951
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Konakovo |
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 | Statement: [Ivankovo Hydroelectric Station, locatedNear, Konakovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konakovo Context triple: [Ivankovo Hydroelectric Station, locatedNear, Konakovo]
-
A.
Konakovo
chosen
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
-
B.
Kuvshinovo
Kuvshinovo is a small town in Tver Oblast, Russia, known primarily as a local industrial and administrative center.
-
C.
Makeyevka
Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
-
D.
Aksakovo
Aksakovo is a town in northeastern Bulgaria that serves as an important residential and industrial center near the city of Varna.
-
E.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e966cb4c8190bc410d7e623e54db |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f455f0bc8190994c57264f775f60 |
completed | April 19, 2026, 3:27 p.m. |
Created at: April 8, 2026, 9:31 p.m.