Triple
T13181863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorski Kotar |
E313748
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Čabar |
E313753
|
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: Čabar | Statement: [Gorski Kotar, hasTown, Čabar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čabar Context triple: [Gorski Kotar, hasTown, Čabar]
-
A.
Čabar
chosen
Čabar is a small town in northwestern Croatia known for its mountainous Gorski Kotar landscape and proximity to the Slovenian border.
-
B.
Babreka
Babreka is one of Bulgaria’s famous Seven Rila Lakes, noted for its distinctive kidney-like shape and clear glacial waters in the Rila Mountains.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
E.
Čapljina
Čapljina is a town in southern Bosnia and Herzegovina known for its location in the Neretva River valley near the Croatian border.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:15 p.m.