Triple
T7141763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tekirdağ Province |
E166458
|
entity |
| Predicate | hasWineRegion |
P285
|
FINISHED |
| Object | Şarköy |
E644679
|
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: Şarköy | Statement: [Tekirdağ Province, hasWineRegion, Şarköy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şarköy Context triple: [Tekirdağ Province, hasWineRegion, Şarköy]
-
A.
Şarköy
chosen
Şarköy is a coastal town and district in northwestern Turkey, known for its beaches, vineyards, and wine production along the Sea of Marmara.
-
B.
Şirinköy
Şirinköy is a village located on Gökçeada, Turkey’s largest Aegean island in the Çanakkale Province.
-
C.
Dereköy
Dereköy is a village on the Aegean island of Gökçeada (historically known as Imbros/İmroz) in Turkey, noted for its traditional stone houses and Greek heritage.
-
D.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
E.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e778875c8190a5202d3efe5a842d |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad940bd88190abec876e2d2369bf |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:45 p.m.