Triple
T14714448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seyhan River |
E345639
|
entity |
| Predicate | hasValley |
P650
|
FINISHED |
| Object | Seyhan Valley |
E941420
|
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: Seyhan Valley | Statement: [Seyhan River, hasValley, Seyhan Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seyhan Valley Context triple: [Seyhan River, hasValley, Seyhan Valley]
-
A.
Seyhan River
The Seyhan River is a major river in southern Turkey that flows through the city of Adana before emptying into the Mediterranean Sea.
-
B.
Göksu Valley
Göksu Valley is a scenic river valley in southern Turkey known for its fertile landscapes, historical sites, and ecological significance along the course of the Göksu River.
-
C.
Seyhan
chosen
Seyhan is a central district and urban area of the city of Adana in southern Turkey.
-
D.
Bakırçay River valley
The Bakırçay River valley is a fertile river plain in western Turkey, historically significant as the landscape surrounding the ancient city of Pergamon.
-
E.
Göksu River
The Göksu River is a significant waterway in southern Turkey that flows from the Taurus Mountains to the Mediterranean Sea, known for its rich biodiversity and fertile surrounding plains.
- 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_69fe0ce17f688190a86979cca8b88494 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.