Triple
T23001448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakarya, Turkey |
E572641
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Geyve |
—
|
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: Geyve | Statement: [Sakarya, Turkey, hasDistrict, Geyve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geyve Context triple: [Sakarya, Turkey, hasDistrict, Geyve]
-
A.
Geyve
chosen
Geyve is a town and district in northwestern Turkey known for its agricultural production, especially fruit growing, within Sakarya Province.
-
B.
Kegeyli
Kegeyli is a town in the autonomous Republic of Karakalpakstan in western Uzbekistan, serving as a local administrative and population center.
-
C.
Geyre
Geyre is a village in southwestern Turkey known as the modern settlement near the ancient Greco-Roman city of Aphrodisias.
-
D.
Ghebi
Ghebi is a regional dialect of the Lahndi (Western Punjabi) language spoken in parts of northern Pakistan.
-
E.
Gorgany
Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
- 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.