Triple
T20500594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İnceburun Lighthouse |
E503289
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sinop 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: Sinop Province | Statement: [İnceburun Lighthouse, locatedIn, Sinop Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinop Province Context triple: [İnceburun Lighthouse, locatedIn, Sinop Province]
-
A.
Sinop Province
chosen
Sinop Province is a Black Sea coastal province in northern Turkey known for its historic port city of Sinop, natural landscapes, and maritime heritage.
-
B.
Zonguldak
Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
-
C.
Kars Province
Kars Province is a northeastern region of Turkey known for its harsh winters, historic architecture, and strategic location bordering Armenia and Georgia.
-
D.
Ordu Province
Ordu Province is a coastal region in northern Turkey along the Black Sea, known for its hazelnut production and mountainous landscapes.
-
E.
Bilecik Province
Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc1ea7081908d17c224b1670bd7 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.