Triple
T11978519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornova, İzmir |
E285095
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Buca, İzmir |
E304441
|
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: Buca, İzmir | Statement: [Bornova, İzmir, adjacentTo, Buca, İzmir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buca, İzmir Context triple: [Bornova, İzmir, adjacentTo, Buca, İzmir]
-
A.
Bornova, İzmir
Bornova, İzmir is a large district of the city of İzmir in western Turkey, known as an important residential, commercial, and educational hub.
-
B.
Karşıyaka district of İzmir
Karşıyaka district of İzmir is a coastal urban area on the northern shore of the Gulf of İzmir, known as a lively residential and commercial hub and home to the sports club Karşıyaka S.K.
-
C.
Buca district
chosen
Buca district is a populous residential and educational area of İzmir, Turkey, known for its large student population and urban neighborhoods.
-
D.
Gölcük
Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
-
E.
Florya
Florya is a coastal neighborhood in Istanbul, Turkey, known for its residential areas, seaside promenade, and recreational facilities.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471f6afc48190856a0f7c486b28aa |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.