Triple
T15294126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkasa |
E365607
|
entity |
| Predicate | partOfIsland |
P3864
|
FINISHED |
| Object | Karpathos |
—
|
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: Karpathos | Statement: [Arkasa, partOfIsland, Karpathos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karpathos Context triple: [Arkasa, partOfIsland, Karpathos]
-
A.
Karpathos
chosen
Karpathos is a Greek island in the southeastern Aegean Sea known for its rugged mountains, traditional villages, and clear, windswept beaches popular with windsurfers.
-
B.
Kythira
Kythira is a Greek island historically associated with the worship of Aphrodite, known for its picturesque villages, beaches, and blend of Ionian and Aegean cultural influences.
-
C.
Tinos
Tinos is a Greek island in the Cyclades renowned for its important Orthodox pilgrimage site, traditional villages, and marble craftsmanship.
-
D.
Skopelos
Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
-
E.
Kalymnos
Kalymnos is a Greek island in the southeastern Aegean Sea, renowned for its historic sponge-diving tradition and world-class rock climbing.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03682ea488190ac82fdbd0e855d34 |
completed | April 16, 2026, 1:08 a.m. |
Created at: April 10, 2026, 3:15 a.m.