Triple
T15294185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menetes |
E365608
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | southern Karpathos |
E74526
|
NE FINISHED |
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: southern Karpathos | Statement: [Menetes, hasViewOf, southern Karpathos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: southern Karpathos Context triple: [Menetes, hasViewOf, southern Karpathos]
-
A.
Kalambaki
Kalambaki is a local Greek name for the ancient red wine grape variety Limnio, traditionally grown in the northern Aegean region.
-
B.
Kammena Vourla
Kammena Vourla is a coastal spa town in central Greece known for its thermal springs and seaside tourism.
-
C.
Giannutri
Giannutri is a small Italian island in the Tyrrhenian Sea, known for its rugged coastline, clear waters, and protected natural environment.
-
D.
Karyes
Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7f2fc08190937226dad5fdc9c6 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.