Triple
T12145152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aghstev River |
E289298
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Aghstevchay |
E965093
|
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: Aghstevchay | Statement: [Aghstev River, hasNameInLanguage, Aghstevchay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aghstevchay Context triple: [Aghstev River, hasNameInLanguage, Aghstevchay]
-
A.
Aghstev
chosen
Aghstev is a river in the South Caucasus region that flows through parts of Armenia and Azerbaijan.
-
B.
Aghstafachay
Aghstafachay is the Azerbaijani name for the Aghstev River, a transboundary river flowing through Armenia and Azerbaijan.
-
C.
Gudyalchay
Gudyalchay is a river located in Azerbaijan’s Gusar District, known for flowing from the Greater Caucasus mountains through the region’s rugged landscapes.
-
D.
Akhstala
Akhstala is a village in northern Armenia known for its historic Akhtala Monastery and its location in the Debed River valley.
-
E.
Ağva
Ağva is a small coastal town on Turkey’s Black Sea shore, known for its beaches, rivers, and natural scenery that make it a popular getaway from Istanbul.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7e24ac819083e85fb8edb2ed2c |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.