Triple
T4677103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kura |
E103707
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Yevlakh |
E146653
|
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: Yevlakh | Statement: [Kura, flowsThrough, Yevlakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yevlakh Context triple: [Kura, flowsThrough, Yevlakh]
-
A.
Yevlakh
chosen
Yevlakh is a city in central Azerbaijan that serves as an important regional transport and agricultural hub.
-
B.
Khankendi
Khankendi is a city in the Nagorno-Karabakh region of the South Caucasus, internationally recognized as part of Azerbaijan and also known by its Armenian name Stepanakert.
-
C.
Shuakhevi
Shuakhevi is a small town and municipality in the mountainous region of Adjara in southwestern Georgia.
-
D.
Gadzhiyevo
Gadzhiyevo is a closed Russian naval town in Murmansk Oblast that serves as a major base for the Northern Fleet’s nuclear-powered submarines.
-
E.
Cherkessk
Cherkessk is a city in southwestern Russia that serves as the administrative, economic, and cultural center of the Karachay-Cherkess Republic in the North Caucasus.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63698a548190831863adddd32f31 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be105232e88190bb79bf52b58e1814 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.