Triple
T3011751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kür |
E82236
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Mingachevir |
E90695
|
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: Mingachevir | Statement: [Kür, passesThrough, Mingachevir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mingachevir Context triple: [Kür, passesThrough, Mingachevir]
-
A.
Mingachevir
chosen
Mingachevir is a city in Azerbaijan known for its large hydroelectric power station and reservoir on the Kura River, making it a key energy and industrial center in the country.
-
B.
Abastumani
Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
-
C.
Akhaltsikhe
Akhaltsikhe is a historic city in southern Georgia known for its multicultural heritage and the restored Rabati Castle complex.
-
D.
Shuakhevi
Shuakhevi is a small town and municipality in the mountainous region of Adjara in southwestern Georgia.
-
E.
Khvanchkara
Khvanchkara is a renowned semi-sweet red wine from Georgia, celebrated for its rich, fruity character and traditional production in the Racha region.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a66c334819082d1d320c48eca1b |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6410e481909753bef34e053363 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.