Triple
T17972458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qezel Owzan River |
E449379
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Qezel Ozan |
—
|
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: Qezel Ozan | Statement: [Qezel Owzan River, hasNameVariant, Qezel Ozan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qezel Ozan Context triple: [Qezel Owzan River, hasNameVariant, Qezel Ozan]
-
A.
Sarıoğlan
Sarıoğlan is a town and district in central Turkey known for its rural character and location within the Central Anatolia region.
-
B.
Bamsi Beyrek
Bamsi Beyrek is a legendary hero of the Oghuz Turkic epic tradition, celebrated for his bravery, loyalty, and romantic exploits in the Book of Dede Korkut.
-
C.
Qezel Owzan
chosen
Qezel Owzan is a river in northwestern Iran that flows through the provinces of East Azerbaijan and Ardabil before joining larger water systems.
-
D.
Melikgazi
Melikgazi is a central district and municipality of the city of Kayseri in central Turkey, known as one of the province’s main urban and administrative hubs.
-
E.
Sercan
Sercan is a Turkish given name commonly used for males.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fb58c481909726d6f916f6f646 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.