Triple
T8597831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beykoz |
E203594
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Göksu River |
E748395
|
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: Göksu River | Statement: [Beykoz, contains, Göksu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göksu River Context triple: [Beykoz, contains, Göksu River]
-
A.
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.
-
B.
Göksu
chosen
Göksu is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its riverside setting along the Göksu Creek on the Asian side of the Bosphorus.
-
C.
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.
-
D.
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.
-
E.
Yeşilırmak River
The Yeşilırmak River is a major river in northern Turkey that flows through several provinces before emptying into the Black Sea.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3332a008190bbeba37bcfc355cb |
completed | April 2, 2026, 10:52 p.m. |
Created at: March 30, 2026, 6:24 p.m.