Triple
T20580663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Körfez |
E505643
|
entity |
| Predicate | locatedWestOf |
P4239
|
FINISHED |
| Object | Izmit |
—
|
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: Izmit | Statement: [Körfez, locatedWestOf, Izmit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izmit Context triple: [Körfez, locatedWestOf, Izmit]
-
A.
Izmit
chosen
Izmit is an industrial and port city in northwestern Turkey, located east of Istanbul along the Gulf of Izmit.
-
B.
Giresun
Giresun is a coastal city in northeastern Turkey known for its hazelnut production and scenic location along the Black Sea.
-
C.
Kastamonu
Kastamonu is a historic city in northern Turkey known for its well-preserved Ottoman architecture and role as the administrative center of Kastamonu Province.
-
D.
Ardahan
Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
-
E.
Isparta
Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90e98a88190b5cb077973f97e68 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.