Triple
T20328790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarandë Municipality |
E492411
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ksamil |
—
|
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: Ksamil | Statement: [Sarandë Municipality, contains, Ksamil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ksamil Context triple: [Sarandë Municipality, contains, Ksamil]
-
A.
Ksamil
chosen
Ksamil is a small coastal village in southern Albania known for its crystal-clear waters, white-sand beaches, and nearby islands, making it one of the most popular destinations on the Albanian Riviera.
-
B.
Symi
Symi is a picturesque Greek island in the Aegean Sea, known for its colorful neoclassical harbor town and tranquil beaches.
-
C.
Çeşme
Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
-
D.
Kuruçeşme
Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
-
E.
Tuzla Island
Tuzla Island is a small island in the Kerch Strait between the Black Sea and the Sea of Azov, known for its strategic location and role in territorial disputes between Russia and Ukraine.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e637e48190b5582e97fe1000c0 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.