Triple
T21965657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Küçükmenderes River |
E542448
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Selçuk |
—
|
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: Selçuk | Statement: [Küçükmenderes River, locatedNear, Selçuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selçuk Context triple: [Küçükmenderes River, locatedNear, Selçuk]
-
A.
Selçuk
Selçuk is a Turkish surname borne by various notable figures in Turkey, including politicians and public officials.
-
B.
Selçuk
chosen
Selçuk is a town in Turkey’s İzmir Province known as the modern gateway to the ancient ruins of Ephesus.
-
C.
Edirdahan
Edirdahan was a Turkish rock band known for blending Anatolian folk elements with progressive rock, notably through its collaboration with influential musician Cem Karaca.
-
D.
Kartepe
Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
-
E.
Selçuklu district
Selçuklu district is a central urban district of Konya, Turkey, known for its large population, modern infrastructure, and historical sites linked to the Seljuk era.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.