Triple
T15027612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolin National Park |
E378257
|
entity |
| Predicate | hasCliff |
P11724
|
FINISHED |
| Object | Grodno cliff |
E1133165
|
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: Grodno cliff | Statement: [Wolin National Park, hasCliff, Grodno cliff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grodno cliff Context triple: [Wolin National Park, hasCliff, Grodno cliff]
-
A.
Orłowo Cliff
Orłowo Cliff is a picturesque, steep sea cliff on the Baltic coast of Gdynia, Poland, known for its dramatic erosion-formed landscape and scenic views.
-
B.
Gosań cliff
chosen
Gosań cliff is a prominent coastal cliff and scenic viewpoint on Wolin Island in northwestern Poland, known for its dramatic elevation above the Baltic Sea.
-
C.
Dzyarzhynskaya Hara
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
-
D.
Kamennaya Gorka
Kamennaya Gorka is a metro station in Minsk, Belarus, serving as one of the western termini of the Minsk Metro system.
-
E.
Los Dinamos cliffs
Los Dinamos cliffs are a popular rock climbing area within Mexico City’s Parque Nacional Los Dinamos, known for their rugged volcanic walls and natural forested surroundings.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b0bbf4819082e14715bfd6003d |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:58 a.m.