Triple
T23529591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar Archipelago |
E576525
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Premuda |
—
|
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: Premuda | Statement: [Zadar Archipelago, hasPart, Premuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Premuda Context triple: [Zadar Archipelago, hasPart, Premuda]
-
A.
Premuda
chosen
Premuda is a small Croatian island in the Adriatic Sea, known for its clear waters, diving sites, and tranquil, sparsely populated environment.
-
B.
Pomarance
Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
-
C.
Pregrada
Pregrada is a small town and municipality in the Hrvatsko Zagorje region of northern Croatia, known for its hilly landscape and historic churches.
-
D.
Pojuca
Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
-
E.
Morolica
Morolica is a small municipality located in the Choluteca Department of southern Honduras, known for its rural character and agricultural activities.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7646a48190b5dcbaf8c0c194df |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.