Triple
T19647336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edirne Vocational School |
E471711
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Edirne, 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: Edirne, Turkey | Statement: [Edirne Vocational School, locatedIn, Edirne, Turkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edirne, Turkey Context triple: [Edirne Vocational School, locatedIn, Edirne, Turkey]
-
A.
Giresun, Turkey
Giresun, Turkey is a Black Sea coastal city in northeastern Turkey known for its hazelnut production and lush, hilly landscape.
-
B.
Edirne
chosen
Edirne is a historic city in northwestern Turkey that served as an early capital of the Ottoman Empire and is renowned for its Ottoman-era architecture, including the Selimiye Mosque.
-
C.
Trabzon
Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
-
D.
Edirne Vilayet
Edirne Vilayet was an administrative province of the late Ottoman Empire centered on the city of Edirne in the European (Rumelian) part of the empire.
-
E.
Sakarya, Turkey
Sakarya, Turkey is an industrial and agricultural province in northwestern Turkey, known for its automotive manufacturing plants and strategic location near Istanbul.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64125dd9481908a891c71c975a964 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.