Triple
T11946239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamenitsa |
E284304
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object | Tevnoto Lake |
E284305
|
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: Tevnoto Lake | Statement: [Kamenitsa, hasNearbyLake, Tevnoto Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tevnoto Lake Context triple: [Kamenitsa, hasNearbyLake, Tevnoto Lake]
-
A.
Siliserh Lake
Siliserh Lake is a picturesque artificial reservoir near Alwar in Rajasthan, India, known for its scenic surroundings and historic lakeside palace.
-
B.
Jasna Lake
Jasna Lake is a picturesque alpine lake in northwestern Slovenia, known for its clear turquoise water and scenic mountain backdrop near the resort town of Kranjska Gora.
-
C.
Rupanco Lake
Rupanco Lake is a scenic glacial lake in Chile’s Los Lagos Region, known for its clear waters, surrounding volcanoes, and popularity for fishing and outdoor recreation.
-
D.
Popovo Lake
chosen
Popovo Lake is a prominent glacial lake in Bulgaria, known as one of the largest and most scenic high-altitude lakes in the Pirin Mountains.
-
E.
Slano Lake
Slano Lake is an artificial reservoir near Nikšić in Montenegro, known for its rugged karst landscape and use in hydroelectric power production.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49cf688448190839f574c85784c98 |
completed | May 1, 2026, 12:30 p.m. |
Created at: April 8, 2026, 9:45 p.m.