Triple
T19292034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyüp, Istanbul |
E482465
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Arnavutköy |
—
|
NE NERFINISHED |
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: Arnavutköy | Statement: [Eyüp, Istanbul, adjacentTo, Arnavutköy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnavutköy Context triple: [Eyüp, Istanbul, adjacentTo, Arnavutköy]
-
A.
Arnavutköy
chosen
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.
-
B.
Silivri
Silivri is a coastal district and popular seaside resort area on the European side of Istanbul, known for its beaches, agriculture, and large high-security prison complex.
-
C.
Bayındır
Bayındır is a town and district in western Turkey known for its agricultural production and location within İzmir Province.
-
D.
Ayvacık
Ayvacık is a small town and district in Turkey’s Çanakkale Province, known for its traditional stone houses and proximity to the Aegean coast and ancient sites like Assos.
-
E.
Ayvacık
Ayvacık is a rural district and town in Turkey’s Black Sea region, located within Samsun Province and known for its natural landscapes and agricultural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc819a7881909a7afbd06d9dd3f0 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.