Triple
T22888006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgrade Sea |
E567657
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sava Lake |
—
|
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: Sava Lake | Statement: [Belgrade Sea, hasPart, Sava Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sava Lake Context triple: [Belgrade Sea, hasPart, Sava Lake]
-
A.
Sava Lake
chosen
Sava Lake is a popular artificial lake and recreational area in Belgrade, Serbia, known for its beaches, water sports, and leisure facilities.
-
B.
Biogradsko Lake
Biogradsko Lake is a glacial lake in northeastern Montenegro renowned for its clear waters and surrounding primeval forest within Biogradska Gora National Park.
-
C.
Jablanica Lake
Jablanica Lake is a scenic artificial reservoir in Bosnia and Herzegovina, popular for swimming, fishing, and water sports amid mountainous surroundings.
-
D.
Vlasina Lake
Vlasina Lake is a high-altitude artificial lake in southeastern Serbia, known for its floating peat islands and surrounding unspoiled nature.
-
E.
Podragu Lake
Podragu Lake is a glacial mountain lake in Romania’s Făgăraș Mountains, popular with hikers for its remote alpine scenery and proximity to the Podragu Chalet.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.