Triple
T14714421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seyhan River |
E345639
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Çukurova |
E937154
|
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: Çukurova | Statement: [Seyhan River, region, Çukurova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çukurova Context triple: [Seyhan River, region, Çukurova]
-
A.
Çukurova
chosen
Çukurova is a fertile agricultural and historical region in southern Turkey, encompassing the plains around the city of Adana near the Mediterranean coast.
-
B.
Adana Vilayet
Adana Vilayet was an administrative province of the Ottoman Empire in southern Anatolia, centered on the city of Adana and encompassing parts of the historic Cilicia region.
-
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.
Mersin Province
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.
-
E.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb845de08190b933d90809cde830 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.