Triple
T6194275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvarner Gulf |
E138470
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Ilovik |
E313759
|
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: Ilovik | Statement: [Kvarner Gulf, hasIsland, Ilovik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilovik Context triple: [Kvarner Gulf, hasIsland, Ilovik]
-
A.
Ilovik
chosen
Ilovik is a small Croatian island and village in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and lush Mediterranean vegetation.
-
B.
Iviatim
Iviatim is an alternative name for the Cahuilla language, a Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
-
C.
Lyova
Lyova is a Russian diminutive form of the male given name Lev.
-
D.
Liuboml
Liuboml is a small historic town in western Ukraine near the Polish border, known for its medieval roots and multicultural heritage.
-
E.
Vika
Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1c162081909cf34e827f1bd7d7 |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.