Triple
T22930723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay of Kalloni |
E569429
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Kerami |
—
|
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: Kerami | Statement: [Bay of Kalloni, nearbySettlement, Kerami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerami Context triple: [Bay of Kalloni, nearbySettlement, Kerami]
-
A.
Kerak
Kerak is a historically significant Crusader-era fortress and town in modern-day Jordan, renowned for its strategic hilltop location and massive medieval castle.
-
B.
Keramoti
Keramoti is a small coastal town in northern Greece that serves as the main ferry gateway to the island of Thasos.
-
C.
Kerames
chosen
Kerames is a small traditional village on the southern coast of Crete, Greece, known for its scenic setting near unspoiled beaches and rugged landscapes.
-
D.
Kudan
Kudan is a historically significant site in the Greater Lumbini Area of Nepal, traditionally associated with events from the life of the Buddha.
-
E.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18131956c8190b8c850fc1d57a119 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.