Triple
T21273889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söğüt District |
E524337
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Söğüt |
—
|
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: Söğüt | Statement: [Söğüt District, hasAdministrativeCenter, Söğüt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Söğüt Context triple: [Söğüt District, hasAdministrativeCenter, Söğüt]
-
A.
Söğüt
chosen
Söğüt is a historic town in northwestern Turkey renowned as the early center of the Ottoman beylik and the birthplace of the Ottoman Empire.
-
B.
Söğütözü
Söğütözü is a modern business and commercial district in Ankara, Turkey, known for its high-rise offices, shopping centers, and proximity to key government areas.
-
C.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
-
D.
Menemen
Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
-
E.
Menemen
Menemen is a traditional Turkish dish of eggs softly scrambled with tomatoes, peppers, and olive oil, often enjoyed for breakfast with bread.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73655717c819092f71ed1920f52b5 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.