Triple
T12830124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impresa di Fiume |
E306760
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Rijeka |
E115683
|
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: Rijeka | Statement: [Impresa di Fiume, location, Rijeka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rijeka Context triple: [Impresa di Fiume, location, Rijeka]
-
A.
Rijeka
chosen
Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport hub.
-
B.
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.
-
C.
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.
-
D.
Šibenik
Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
-
E.
Rovinj
Rovinj is a picturesque coastal town on Croatia’s Istrian peninsula, known for its colorful old town, fishing harbor, and popular seaside tourism.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96faf9ae481908265e198f917d1e6 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5466d988190ae0df2f4058287a1 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:34 p.m.