Triple
T11783127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bologoye |
E280199
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lake Bologoye |
E326308
|
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: Lake Bologoye | Statement: [Bologoye, namedAfter, Lake Bologoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Bologoye Context triple: [Bologoye, namedAfter, Lake Bologoye]
-
A.
Lake Askania
Lake Askania is a historic lake in northwestern Anatolia, Turkey, known for its proximity to the ancient city of Nicaea (modern İznik).
-
B.
Lake Beloye
chosen
Lake Beloye is a large freshwater lake in northwestern Russia known for its role in regional waterways and its location within Vologda Oblast.
-
C.
Benya Lagoon
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
D.
Dayet Aoua Lake
Dayet Aoua Lake is a scenic freshwater lake in Morocco’s Middle Atlas region, popular for its natural beauty, birdlife, and outdoor recreation.
-
E.
Lake Seliger
Lake Seliger is a large glacial lake in central Russia known for its scenic islands, pine forests, and popularity as a nature and recreation destination.
- 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_69f130e5a21881909b59e39cd96ec676 |
completed | April 28, 2026, 10:12 p.m. |
Created at: April 8, 2026, 9:42 p.m.