Triple
T10942499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudyalchay River |
E258507
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Gudyalçay |
E808582
|
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: Gudyalçay | Statement: [Gudyalchay River, hasNameInLanguage, Gudyalçay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gudyalçay Context triple: [Gudyalchay River, hasNameInLanguage, Gudyalçay]
-
A.
Gudyalchay
chosen
Gudyalchay is a river located in Azerbaijan’s Gusar District, known for flowing from the Greater Caucasus mountains through the region’s rugged landscapes.
-
B.
Gorgany
Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
-
C.
Qaryut
Qaryut is a Palestinian village located in the central West Bank within the Nablus Governorate.
-
D.
Kegeyli
Kegeyli is a town in the autonomous Republic of Karakalpakstan in western Uzbekistan, serving as a local administrative and population center.
-
E.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c33a7c8190b3347944f68ee431 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c1ed4f081909ac5731dac325466 |
completed | April 17, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:23 p.m.