Triple
T15892771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartın |
E385368
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Bartın 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: Bartın Province | Statement: [Bartın, isPartOf, Bartın Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartın Province Context triple: [Bartın, isPartOf, Bartın Province]
-
A.
Bartın
chosen
Bartın is a small city and provincial capital in northern Turkey, located near the Black Sea and known for its historic wooden houses and natural surroundings.
-
B.
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.
-
C.
Bilecik Province
Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
-
D.
Çankırı Province
Çankırı Province is a landlocked administrative region in north-central Turkey known for its mountainous terrain, historical sites, and traditional salt mines.
-
E.
Bingöl Province
Bingöl Province is an eastern Turkish province known for its mountainous landscape, Kurdish and Zaza populations, and rich local culture.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563727cc819086b5c18b655dd7f6 |
completed | April 16, 2026, 9:35 p.m. |
Created at: April 10, 2026, 4:51 a.m.