Triple
T16442669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sava Bohinjka |
E399342
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | Radovljica |
E1065086
|
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: Radovljica | Statement: [Sava Bohinjka, mouthLocation, Radovljica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radovljica Context triple: [Sava Bohinjka, mouthLocation, Radovljica]
-
A.
Radovljica
chosen
Radovljica is a historic town in northwestern Slovenia known for its well-preserved medieval old town and cultural heritage.
-
B.
Grožnjan
Grožnjan is a small medieval hilltop town in Istria, Croatia, renowned as an artists’ colony and cultural center.
-
C.
Šentjur
Šentjur is a Slovenian basketball club competing in the country’s top professional league.
-
D.
Vodnjan
Vodnjan is a historic town in southwestern Croatia’s Istria region, known for its multicultural heritage, medieval architecture, and preservation of local Romance dialects.
-
E.
Škofja Loka
Škofja Loka is a historic medieval town in northwestern Slovenia, known for its well-preserved old town, castle, and rich cultural heritage.
- 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_6a005815efc48190868305f428cb9085 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.