Triple
T16448681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stato da Mar |
E399497
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Corfu |
—
|
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: Corfu | Statement: [Stato da Mar, hasPart, Corfu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corfu Context triple: [Stato da Mar, hasPart, Corfu]
-
A.
Corfu
chosen
Corfu is a Greek island in the Ionian Sea known for its lush landscapes, Venetian-influenced architecture, and rich cultural history.
-
B.
Kefalonia
Kefalonia is a large Greek island in the Ionian Sea known for its dramatic limestone cliffs, clear turquoise waters, and picturesque villages.
-
C.
Zakynthos
Zakynthos is a Greek island in the Ionian Sea known for its stunning beaches, clear blue waters, and dramatic coastal cliffs.
-
D.
Lefkada
Lefkada is a Greek island in the Ionian Sea known for its dramatic cliffs, turquoise waters, and popular beaches such as Porto Katsiki and Egremni.
-
E.
Karpathos
Karpathos is a Greek island in the southeastern Aegean Sea known for its rugged mountains, traditional villages, and clear, windswept beaches popular with windsurfers.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:10 a.m.