Triple
T12028355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myshkin |
E286336
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Rybinsk |
E291027
|
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: Rybinsk | Statement: [Myshkin, hasNearbyCity, Rybinsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rybinsk Context triple: [Myshkin, hasNearbyCity, Rybinsk]
-
A.
Rybinsk
chosen
Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
-
B.
Rybinsk Reservoir
Rybinsk Reservoir is a large artificial lake in Russia, created by damming the Volga and several tributaries, and is one of the country’s largest and historically most significant reservoirs.
-
C.
Tsimlyansk
Tsimlyansk is a town in Rostov Oblast, Russia, known for its proximity to the Tsimlyansk Reservoir and its role in regional hydroelectric power and agriculture.
-
D.
Tsimlyansk Reservoir
Tsimlyansk Reservoir is a large artificial lake on the Don River in southwestern Russia, created for hydroelectric power, irrigation, and navigation.
-
E.
Votkinsk Reservoir
Votkinsk Reservoir is a large artificial lake in Russia formed by damming the Kama River, primarily used for hydroelectric power generation, navigation, and water regulation.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f13ae8819097a5740f7c51df82 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63edddad48190b5b4da184fde27dd |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:47 p.m.