Triple
T520725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isthmus of Perekop |
E10808
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Syvash lagoons |
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 lagoons | Statement: [Isthmus of Perekop, adjacentTo, Syvash lagoons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syvash lagoons Context triple: [Isthmus of Perekop, adjacentTo, Syvash lagoons]
-
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.
Benya Lagoon
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
C.
Lake Velence
Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
-
D.
Ligeia Mare
Ligeia Mare is one of the largest known hydrocarbon seas on Saturn’s moon Titan, composed primarily of liquid methane and ethane.
-
E.
Jellyfish Lake
Jellyfish Lake is a marine lake in Palau famous for its millions of stingless jellyfish and unique snorkeling experiences.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a1817c8190a6cc8f423071d3ad |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23dca0c8190b240bb7c9fb8b799 |
completed | March 1, 2026, 9:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.