Triple
T4152888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Prespa |
E89947
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Small Prespa Lake |
E89947
|
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: Small Prespa Lake | Statement: [Lake Prespa, hasPart, Small Prespa Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Small Prespa Lake Context triple: [Lake Prespa, hasPart, Small Prespa Lake]
-
A.
Los Molinos Lake
Los Molinos Lake is an artificial reservoir and popular recreational and water-sports destination located in Córdoba Province, Argentina.
-
B.
Lake Tota
Lake Tota is Colombia’s largest natural lake, located high in the Andes and known for its scenic beauty and ecological significance.
-
C.
Lake Caldaro
Lake Caldaro is a popular, relatively warm alpine lake in northern Italy known for swimming, windsurfing, and surrounding vineyards.
-
D.
Lake Prespa
chosen
Lake Prespa is a high-altitude, tectonic lake in the Balkans shared by North Macedonia, Albania, and Greece, known for its rich biodiversity and scenic, relatively undeveloped surroundings.
-
E.
Lago di Mezzo
Lago di Mezzo is a lake in northern Italy that forms part of the system of lakes encircling the historic city of Mantua.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0277a910819085cde5df9a8110d8 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f399c748190a87ca2a824dbfbca |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.