Triple
T20111117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tofaş S.K. |
E490331
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Bursa, Turkey |
—
|
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: Bursa, Turkey | Statement: [Tofaş S.K., basedIn, Bursa, Turkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bursa, Turkey Context triple: [Tofaş S.K., basedIn, Bursa, Turkey]
-
A.
Bursa
chosen
Bursa is a major city in northwestern Turkey known historically as the first capital of the Ottoman Empire and today as an important industrial and cultural center.
-
B.
Giresun, Turkey
Giresun, Turkey is a Black Sea coastal city in northeastern Turkey known for its hazelnut production and lush, hilly landscape.
-
C.
Bursa Province
Bursa Province is a region in northwestern Turkey known for its historical significance as an early Ottoman capital, its industrial city of Bursa, and its proximity to Uludağ Mountain.
-
D.
Sakarya, Turkey
Sakarya, Turkey is an industrial and agricultural province in northwestern Turkey, known for its automotive manufacturing plants and strategic location near Istanbul.
-
E.
Trabzon
Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e0180c8190adeead0e60a099b0 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.