Triple
T17049459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čiovo |
E413654
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Trogir |
—
|
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: Trogir | Statement: [Čiovo, locatedNear, Trogir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trogir Context triple: [Čiovo, locatedNear, Trogir]
-
A.
Trogir
chosen
Trogir is a historic coastal town in Croatia renowned for its well-preserved medieval architecture and UNESCO-listed old town on the Adriatic Sea.
-
B.
Zadar
Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
-
C.
Korčula
Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
-
D.
Makarska
Makarska is a coastal town and popular tourist resort on the Adriatic Sea in southern Croatia, known for its beaches and the nearby Biokovo mountain range.
-
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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
Created at: April 10, 2026, 5:34 a.m.