Triple
T17809411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mljet National Park |
E444657
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Veliko Jezero |
E1288847
|
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: Veliko Jezero | Statement: [Mljet National Park, contains, Veliko Jezero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veliko Jezero Context triple: [Mljet National Park, contains, Veliko Jezero]
-
A.
Veliko Jezero
chosen
Veliko Jezero is a large saltwater lake on the Croatian island of Mljet, renowned for its scenic beauty and central role in Mljet National Park’s landscape and ecology.
-
B.
Vlasina Lake
Vlasina Lake is a high-altitude artificial lake in southeastern Serbia, known for its floating peat islands and surrounding unspoiled nature.
-
C.
Čertovo jezero
Čertovo jezero is a glacial lake in the Bohemian Forest of the Czech Republic, known for its scenic setting and associated folk legends.
-
D.
Malo Jezero
Malo Jezero is a small, scenic saltwater lake on the Croatian island of Mljet, known for its tranquil turquoise waters and forested surroundings within Mljet National Park.
-
E.
Lake Niegocin
Lake Niegocin is a large Masurian lake in northeastern Poland, popular for sailing and water recreation.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887976e48190842840ef064dc772 |
completed | April 19, 2026, 7:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313b5409081908ebe4d66d7c602a3 |
completed | May 12, 2026, 11:49 a.m. |
Created at: April 10, 2026, 10:14 a.m.