Triple
T13045198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perekop–Chongar operation |
E327300
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Sivash |
E1044321
|
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: Sivash | Statement: [Perekop–Chongar operation, location, Sivash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sivash Context triple: [Perekop–Chongar operation, location, Sivash]
-
A.
Sivash
chosen
Sivash is a large system of shallow, salty lagoons on the western shore of the Sea of Azov, separating the Crimean Peninsula from mainland Ukraine.
-
B.
Nieuwe Meer
Nieuwe Meer is a lake in the Netherlands, situated on the western edge of Amsterdam and used for recreation and water management.
-
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.
Rybinsk
Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
-
E.
Sasyk Lagoon
Sasyk Lagoon is a large coastal lagoon on the Black Sea in southwestern Ukraine, known for its brackish waters, biodiversity, and controversial Soviet-era hydrological alterations.
- 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_69f75d7cfe24819096e8f4cd496a6fd7 |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 8:56 p.m.