Triple
T11783152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udomlya |
E280200
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Udomlya Lake |
E707549
|
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: Udomlya Lake | Statement: [Udomlya, locatedOn, Udomlya Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udomlya Lake Context triple: [Udomlya, locatedOn, Udomlya Lake]
-
A.
Udomlya Lake
chosen
Udomlya Lake is a freshwater lake in Tver Oblast, Russia, known for its proximity to and use by the Kalinin Nuclear Power Plant.
-
B.
Slăvei Lake
Slăvei Lake is a glacial lake located within Romania’s Retezat National Park, known for its alpine scenery and pristine natural environment.
-
C.
Karymskoye Lake
Karymskoye Lake is a small volcanic crater lake in Russia’s Kamchatka Peninsula, known for its location within the highly active Karymsky volcanic complex.
-
D.
Morąg Lake
Morąg Lake is a freshwater lake in northern Poland’s Warmian-Masurian region, known for its scenic shoreline and recreational opportunities such as boating and fishing.
-
E.
Tałty Lake
Tałty Lake is a scenic lake in Poland’s Masurian Lake District, known for boating, tourism, and its proximity to the resort town of Mikołajki.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a58413048190b9e3b9d2f5383ec3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166c735008190a73dd74dbcddd182 |
completed | April 29, 2026, 2:02 a.m. |
Created at: April 8, 2026, 9:42 p.m.