Triple
T19705613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutivan |
E473205
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Milna |
—
|
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: Milna | Statement: [Sutivan, hasNearbySettlement, Milna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milna Context triple: [Sutivan, hasNearbySettlement, Milna]
-
A.
Milna
chosen
Milna is a picturesque coastal village and harbor town on the western side of the Croatian island of Brač, known for its traditional stone architecture and sheltered bay.
-
B.
Milna
Milna is a volcanic feature located on Simushir Island in Russia’s Kuril Islands chain.
-
C.
Teteven
Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
-
D.
Muravera
Muravera is a coastal town and municipality in southeastern Sardinia, Italy, known for its citrus production and nearby beaches.
-
E.
Oxenberg
Oxenberg is a surname most prominently associated with actress Catherine Oxenberg, known for her role on the television series "Dynasty" and her ties to European royalty.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642ba4bd08190b016b8c6664079c4 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.