Triple
T4914164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korčula |
E110307
|
entity |
| Predicate | hasLargestSettlement |
P235
|
FINISHED |
| Object | Korčula (town) |
E110307
|
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: Korčula (town) | Statement: [Korčula, hasLargestSettlement, Korčula (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korčula (town) Context triple: [Korčula, hasLargestSettlement, Korčula (town)]
-
A.
Korčula
chosen
Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
-
B.
Trogir
Trogir is a historic coastal town in Croatia renowned for its well-preserved medieval architecture and UNESCO-listed old town on the Adriatic Sea.
-
C.
Hvar
Hvar is a popular Croatian island in the Adriatic Sea known for its sunny climate, historic town, lavender fields, and vibrant nightlife.
-
D.
Opatija
Opatija is a historic seaside resort town on Croatia’s Adriatic coast, known for its elegant Austro-Hungarian architecture, mild climate, and long tradition of tourism.
-
E.
Šibenik
Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9f12b48190b3cb5378958d03cd |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfa8578c8190948a1597ebac3ca6 |
completed | March 21, 2026, 5:04 p.m. |
Created at: March 20, 2026, 1:29 p.m.