Triple
T6507933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İmroz |
E150057
|
entity |
| Predicate | hasLargestSettlement |
P235
|
FINISHED |
| Object | Gökçeada town |
E157915
|
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: Gökçeada town | Statement: [İmroz, hasLargestSettlement, Gökçeada town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gökçeada town Context triple: [İmroz, hasLargestSettlement, Gökçeada town]
-
A.
Gökçeada
chosen
Gökçeada is the largest island of Turkey, located in the northern Aegean Sea and known for its Greek heritage, natural landscapes, and traditional villages.
-
B.
Alushta
Alushta is a resort town on the southern coast of Crimea, known for its beaches, mild climate, and role as a popular Black Sea tourist destination.
-
C.
Arnavutköy
Arnavutköy is a district on the European side of Istanbul, Turkey, known for its rapidly developing urban areas and hosting the city’s main international airport.
-
D.
Büyükada
Büyükada is the largest and most popular of Istanbul’s Princes' Islands, known for its historic wooden mansions, car-free streets, and seaside promenades.
-
E.
Sozopol
Sozopol is an ancient coastal town and popular seaside resort on Bulgaria’s Black Sea coast, known for its historic architecture and maritime heritage.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c699693d94819088e8adff364e834a |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70062ec108190a9cb2655cd136d33 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 1:43 p.m.