Triple
T11736807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsun Province |
E279047
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Bafra |
E774242
|
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: Bafra | Statement: [Samsun Province, hasDistrict, Bafra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bafra Context triple: [Samsun Province, hasDistrict, Bafra]
-
A.
Bafra
chosen
Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
-
B.
Düzce
Düzce is a city in northwestern Turkey known for its location between Istanbul and Ankara and its proximity to the Black Sea.
-
C.
Körfez
Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara region.
-
D.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
-
E.
Başkale
Başkale is a district and town in eastern Turkey, situated in the mountainous region of Van Province near the Iranian border.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1308339ac8190b579a8c1bee2a2c2 |
completed | April 28, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:41 p.m.