Triple
T14500036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolu Province |
E359609
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Zonguldak Province |
—
|
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: Zonguldak Province | Statement: [Bolu Province, borders, Zonguldak Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zonguldak Province Context triple: [Bolu Province, borders, Zonguldak Province]
-
A.
Bilecik Province
Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
-
B.
Zonguldak
chosen
Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
-
C.
Karabük Province
Karabük Province is an administrative region in northern Turkey known for its industrial city of Karabük and the nearby UNESCO-listed historic town of Safranbolu.
-
D.
Gümüşhane Province
Gümüşhane Province is a mountainous region in northeastern Turkey known for its rich mineral resources, historic towns, and location along important routes through the Pontic Mountains.
-
E.
Düzce Province
Düzce Province is a region in northwestern Turkey along the Black Sea coast, known for its forests, waterfalls, and rapidly developing urban center of Düzce.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de94dfe484819086dd971606e6478e |
completed | April 14, 2026, 7:26 p.m. |
Created at: April 10, 2026, 1:21 a.m.