Triple
T8862011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beylerbeyi |
E210912
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kuzguncuk |
E640850
|
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: Kuzguncuk | Statement: [Beylerbeyi, locatedNear, Kuzguncuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuzguncuk Context triple: [Beylerbeyi, locatedNear, Kuzguncuk]
-
A.
Kuzguncuk
chosen
Kuzguncuk is a historic, picturesque neighborhood on Istanbul’s Asian shore of the Bosphorus, known for its colorful wooden houses, multicultural heritage, and village-like atmosphere.
-
B.
Büyükerşen
Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
-
C.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
D.
Gümüşhane
Gümüşhane is a small city in northeastern Turkey known for its mountainous landscape, mining history, and traditional stone architecture.
-
E.
Kalecik
Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610263048190931bb2c3ac573a08 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab8fef348190a25e978085e8e656 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:50 p.m.