Triple
T17351308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savica Waterfall |
E421817
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Ribčev Laz |
—
|
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: Ribčev Laz | Statement: [Savica Waterfall, nearbySettlement, Ribčev Laz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribčev Laz Context triple: [Savica Waterfall, nearbySettlement, Ribčev Laz]
-
A.
Ribčev Laz
chosen
Ribčev Laz is a small Slovenian village in the Julian Alps, best known as the main tourist gateway to Lake Bohinj and the Triglav National Park.
-
B.
Lozova
Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
-
C.
Sremska Kamenica
Sremska Kamenica is a suburban settlement of Novi Sad in Serbia, known for its historic architecture, educational and medical institutions, and scenic location on the slopes of Fruška Gora by the Danube River.
-
D.
Leskovac
Leskovac is a city in southern Serbia known historically for its textile industry and its popular grilled meat (roštilj) festival.
-
E.
Niška Banja
Niška Banja is a well-known Serbian spa town near Niš, recognized for its thermal mineral springs and health tourism facilities.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2ca0708190aae8306ec3a6f2a7 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.