Triple
T16106627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levantine Sea |
E390753
|
entity |
| Predicate | hasInflow |
P967
|
FINISHED |
| Object | Seyhan River |
E345639
|
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 River | Statement: [Levantine Sea, hasInflow, Seyhan River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seyhan River Context triple: [Levantine Sea, hasInflow, Seyhan River]
-
A.
Seyhan River
chosen
The Seyhan River is a major river in southern Turkey that flows through the city of Adana before emptying into the Mediterranean Sea.
-
B.
Seyhan
Seyhan is a central district and urban area of the city of Adana in southern Turkey.
-
C.
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.
-
D.
Tunca River
The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
-
E.
Gökırmak River
The Gökırmak River is a significant river in northern Turkey that flows through the Black Sea region before joining the Kızılırmak River.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79c74388190a10e0346426b0cbe |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5 a.m.