Triple
T11419139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadıköy Pier |
E270571
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Karaköy |
E167885
|
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: Karaköy | Statement: [Kadıköy Pier, connectsTo, Karaköy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karaköy Context triple: [Kadıköy Pier, connectsTo, Karaköy]
-
A.
Karaköy
chosen
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
B.
Çerkezköy
Çerkezköy is an industrial and residential town in northwestern Turkey, located in Tekirdağ Province within the Thrace region.
-
C.
Poyrazköy
Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
-
D.
Konyaaltı
Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
-
E.
Kanık
Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b20ce08190befc98379b879985 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a7133d88190813a1e74ef310993 |
completed | May 2, 2026, 4:46 p.m. |
Created at: April 8, 2026, 9:34 p.m.