Triple
T20668920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilovası |
E507965
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Çayırova |
—
|
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: Çayırova | Statement: [Dilovası, adjacentTo, Çayırova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çayırova Context triple: [Dilovası, adjacentTo, Çayırova]
-
A.
Çayırova
chosen
Çayırova is a district and rapidly growing industrial-urban area located in Kocaeli Province in northwestern Turkey.
-
B.
Kırcaali
Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
-
C.
Kuyucak
Kuyucak is a town and district in western Turkey, located within Aydın Province and known for its agricultural production and proximity to natural and historical sites.
-
D.
Ceylanpınar
Ceylanpınar is a town and district in southeastern Turkey, located on the Syrian border and known for its large state-owned agricultural enterprises.
-
E.
Havza
Havza is a district and town in northern Turkey known for its thermal springs and location within Samsun Province in the Black Sea region.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c60a2481908ae3764bc12454e0 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.