Triple
T4049176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardahan |
E84141
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ardahan Province |
E84141
|
NE FINISHED |
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: Ardahan Province | Statement: [Ardahan, locatedIn, Ardahan Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ardahan Province Context triple: [Ardahan, locatedIn, Ardahan Province]
-
A.
Ardahan
chosen
Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
-
B.
Kastamonu Province
Kastamonu Province is a historically rich, mountainous region in northern Turkey, known for its traditional architecture, forests, and cultural heritage.
-
C.
Trabzon Province
Trabzon Province is a coastal region in northeastern Turkey along the Black Sea, known for its mountainous landscapes, rich history, and the city of Trabzon as its capital.
-
D.
Rize Province
Rize Province is a mountainous, coastal region in northeastern Turkey along the Black Sea, known for its lush tea plantations and predominantly rainy climate.
-
E.
Tunceli Province
Tunceli Province is a mountainous and sparsely populated region in eastern Turkey known for its significant Alevi and Zaza Kurdish population and its rugged natural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb82d1a08190aa8c5c48d368b58b |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6f3796c8190bac5529032419ecc |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 9, 2026, 3:37 p.m.