Triple
T19193347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čižići |
E469897
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Kvarner |
—
|
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: Kvarner | Statement: [Čižići, region, Kvarner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvarner Context triple: [Čižići, region, Kvarner]
-
A.
Kvarner Gulf
chosen
Kvarner Gulf is a bay of the northern Adriatic Sea known for its coastal cities and islands that form a popular tourist region of Croatia.
-
B.
Kalmarsund
Kalmarsund is a strait in the Baltic Sea that separates the Swedish island of Öland from the mainland province of Småland.
-
C.
Gulf of Bothnia
The Gulf of Bothnia is the northernmost arm of the Baltic Sea, lying between Sweden and Finland and known for its brackish waters and extensive winter ice cover.
-
D.
Riddarfjärden
Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
-
E.
Lake Mälaren
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a409948190a17aa28a6e9c8844 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.