Triple
T21514070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smołdzino |
E530798
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Lake Gardno |
—
|
NE NERFINISHED |
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 Gardno | Statement: [Smołdzino, hasNearbyAttraction, Lake Gardno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Gardno Context triple: [Smołdzino, hasNearbyAttraction, Lake Gardno]
-
A.
Lake Gardno
chosen
Lake Gardno is a coastal lake in northern Poland known for its location within the Słowiński National Park and its proximity to the Baltic Sea.
-
B.
Doberdò Lake
Doberdò Lake is a karstic lake in northeastern Italy known for its fluctuating water levels and unique wetland ecosystem within the Karst Plateau.
-
C.
Lake Iseo
Lake Iseo is a picturesque glacial lake in northern Italy, known for its tranquil scenery, surrounding mountains, and the island of Monte Isola at its center.
-
D.
Idroscalo Lake
Idroscalo Lake is an artificial basin and popular recreational area near Milan, Italy, known for water sports, rowing events, and lakeside leisure activities.
-
E.
Lake Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.