Triple
T13044934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chonhar Peninsula causeways |
E327292
|
entity |
| Predicate | over |
P27212
|
FINISHED |
| Object | Syvash |
E64776
|
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: Syvash | Statement: [Chonhar Peninsula causeways, over, Syvash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syvash Context triple: [Chonhar Peninsula causeways, over, Syvash]
-
A.
Syvash
chosen
Syvash is a large, shallow system of highly saline lagoons on the western coast of the Sea of Azov, bordering Crimea and known for its marshy, mudflat landscape.
-
B.
Onega
Onega is a small town in Arkhangelsk Oblast, northwestern Russia, situated near the mouth of the Onega River on the White Sea coast.
-
C.
Uglich Reservoir
The Uglich Reservoir is a large artificial lake on the Volga River in Russia, created by the Uglich Hydroelectric Station and used for power generation, navigation, and water regulation.
-
D.
Lake Potanipo
Lake Potanipo is a small recreational lake in Brookline, New Hampshire, known for activities like boating, fishing, and swimming.
-
E.
Černé jezero
Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98050157c8190bb8c640b759ac2b7 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead25b7c8190af2ccf26b44c2ea2 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 8:56 p.m.