Triple
T16442670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sava Bohinjka |
E399342
|
entity |
| Predicate | confluenceWith |
P2416
|
FINISHED |
| Object | Sava Dolinka |
E1057152
|
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: Sava Dolinka | Statement: [Sava Bohinjka, confluenceWith, Sava Dolinka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sava Dolinka Context triple: [Sava Bohinjka, confluenceWith, Sava Dolinka]
-
A.
Sava Dolinka
chosen
Sava Dolinka is a river in northwestern Slovenia that forms one of the two headwaters of the Sava, the longest river in the country.
-
B.
Savski Venac
Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
-
C.
Vrbnik
Vrbnik is a historic coastal town on the Croatian island of Krk, known for its clifftop old town, narrow streets, and production of the Žlahtina white wine.
-
D.
Ojstrica
Ojstrica is a prominent mountain peak in northern Slovenia, known for its steep limestone walls and scenic views within the Kamnik–Savinja Alps.
-
E.
Vrlika
Vrlika is a small historic town in inland Dalmatia, Croatia, known for its scenic setting near Lake Peruća and the Dinara mountain range.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084aa47408190abe2ffaab84cdd85 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:10 a.m.