Triple
T23001457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakarya, Turkey |
E572641
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Söğütlü |
—
|
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: Söğütlü | Statement: [Sakarya, Turkey, hasDistrict, Söğütlü]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Söğütlü Context triple: [Sakarya, Turkey, hasDistrict, Söğütlü]
-
A.
Söğütlü
chosen
Söğütlü is a small town and district located in Turkey’s northwestern Sakarya Province.
-
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.
Sögüt
Sögüt is a historic town in northwestern Turkey best known as the early center and first capital of the emerging Ottoman beylik that grew into the Ottoman Empire.
-
D.
Oğuzeli
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
-
E.
Bostancı
Bostancı is a coastal neighborhood on Istanbul’s Asian side that serves as a major transportation hub and departure point for ferries to the Princes’ Islands.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18353d05481909abacb48a14ef21e |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.