Triple
T8789465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsimlyansk Reservoir |
E209123
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Tsimlyansk |
E757754
|
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: Tsimlyansk | Statement: [Tsimlyansk Reservoir, namedAfter, Tsimlyansk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsimlyansk Context triple: [Tsimlyansk Reservoir, namedAfter, Tsimlyansk]
-
A.
Tsimlyansk
chosen
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.
-
B.
Rybinsk
Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
-
C.
Tsimlyansk Reservoir
Tsimlyansk Reservoir is a large artificial lake on the Don River in southwestern Russia, created for hydroelectric power, irrigation, and navigation.
-
D.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
E.
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8b0c108190af53d4bb9b132c5c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f493f648190b0e9392f1abb44a1 |
completed | April 3, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:43 p.m.