Triple
T13487977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Primorska |
E318555
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Izola |
E314823
|
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: Izola | Statement: [University of Primorska, hasCampus, Izola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izola Context triple: [University of Primorska, hasCampus, Izola]
-
A.
Izola
chosen
Izola is a coastal town and popular tourist destination on the Adriatic Sea in southwestern Slovenia, known for its fishing heritage and picturesque old town.
-
B.
Zihl
Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
-
C.
Izera
Izera is the Polish name for the Jizera River, a Central European river flowing through the Czech Republic and Poland and forming part of their mutual border.
-
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.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74638e2088190a126791f60b541c7 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.