Triple
T7429491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarıyer |
E171451
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yeniköy |
E639217
|
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: Yeniköy | Statement: [Sarıyer, contains, Yeniköy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeniköy Context triple: [Sarıyer, contains, Yeniköy]
-
A.
Yeniköy
chosen
Yeniköy is a historic, upscale neighborhood on the European shore of the Bosphorus in Istanbul, known for its waterfront mansions and scenic seaside atmosphere.
-
B.
Hasköy
Hasköy is a historic neighborhood on the European side of Istanbul, known for its multicultural past and its location along the Golden Horn.
-
C.
Şirinköy
Şirinköy is a village located on Gökçeada, Turkey’s largest Aegean island in the Çanakkale Province.
-
D.
Kaleköy
Kaleköy is a small coastal village on the island of Gökçeada in Turkey, known for its historic stone houses, scenic harbor, and traditional Aegean atmosphere.
-
E.
Yenikale
Yenikale is a coastal area near Kerch on the Crimean Peninsula, notable as a World War II amphibious landing site during Soviet operations against German forces.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3082f188190af5673d18ac7e87e |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f135a348190ae9edc02a19b2278 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.