Triple
T20535906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Aegean islands |
E504196
|
entity |
| Predicate | hasPortCity |
P2745
|
FINISHED |
| Object | Vathy (Samos) |
—
|
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: Vathy (Samos) | Statement: [North Aegean islands, hasPortCity, Vathy (Samos)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vathy (Samos) Context triple: [North Aegean islands, hasPortCity, Vathy (Samos)]
-
A.
Vathy (Samos)
chosen
Vathy (Samos) is the main town and port of the Greek island of Samos, serving as an important hub for maritime transport and tourism in the eastern Aegean.
-
B.
Vivlos
Vivlos is a traditional village on the Greek island of Naxos in the Lesser Cyclades, known for its Cycladic architecture and rural character.
-
C.
Kammena Vourla
Kammena Vourla is a coastal spa town in central Greece known for its thermal springs and seaside tourism.
-
D.
Vamvakou
Vamvakou is a small village in the vicinity of Farsala in central Greece.
-
E.
Vassiliki Bay
Vassiliki Bay is a scenic coastal inlet on the island of Lefkada in Greece, popular for its beaches and excellent windsurfing conditions.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06ed3088190bd01a95672b01ad6 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.