Triple
T19924331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čara |
E478883
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Korčula town |
—
|
NE NERFINISHED |
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: [Čara, locatedNear, Korčula town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korčula town Context triple: [Čara, locatedNear, 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.
Cavtat
Cavtat is a coastal town in southern Croatia known for its picturesque harbor, historic architecture, and proximity to Dubrovnik.
-
D.
Hvar
Hvar is a popular Croatian island in the Adriatic Sea known for its sunny climate, historic town, lavender fields, and vibrant nightlife.
-
E.
Ragusa (Dubrovnik)
Ragusa (Dubrovnik) is the historic maritime city-state on the Adriatic coast, now known as Dubrovnik in Croatia, famed for its well-preserved medieval architecture and role as a major trading hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c88c548190b9b9eccbdd07d977 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.