Triple
T14663307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göksu River |
E344299
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Mersin 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: Mersin Province | Statement: [Göksu River, region, Mersin Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mersin Province Context triple: [Göksu River, region, Mersin Province]
-
A.
Mersin Province
chosen
Mersin Province is a coastal region in southern Turkey on the Mediterranean Sea, known for its major port city of Mersin and its rich historical and agricultural significance.
-
B.
Antalya Province
Antalya Province is a large Mediterranean coastal region in southwestern Turkey known for its major tourist resorts, beaches, and historical sites.
-
C.
Hatay Province
Hatay Province is a southern Turkish province on the Mediterranean coast, known for its multicultural heritage, ancient cities, and strategic location bordering Syria.
-
D.
Kahramanmaraş Province
Kahramanmaraş Province is an administrative region in southern Turkey known for its historic city of Kahramanmaraş and its famous Maraş ice cream.
-
E.
Gaziantep Province
Gaziantep Province is a region in southeastern Turkey known for its historic city of Gaziantep, rich culinary traditions, and strong industrial and educational development.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
Created at: April 10, 2026, 1:27 a.m.