Triple
T19297470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idrijca River |
E482602
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Cerkno |
—
|
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: Cerkno | Statement: [Idrijca River, nearbySettlement, Cerkno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerkno Context triple: [Idrijca River, nearbySettlement, Cerkno]
-
A.
Cerkno
chosen
Cerkno is a small town in western Slovenia known for its mountainous surroundings, ski resort, and traditional Cerkno Carnival.
-
B.
Cerknica
Cerknica is a town in southwestern Slovenia known for the intermittent Lake Cerknica and its karst landscape.
-
C.
Trebnje
Trebnje is a small town in southeastern Slovenia known as a local cultural and administrative center in the historical region of Lower Carniola.
-
D.
Vrhnika
Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
-
E.
Vrčeň
Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc86f8648190920d122bb141c6e5 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.