Triple
T16032991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qaryagin uezd |
E388893
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Jabrayil |
E737829
|
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: Jabrayil | Statement: [Qaryagin uezd, capital, Jabrayil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jabrayil Context triple: [Qaryagin uezd, capital, Jabrayil]
-
A.
Jabrayil
chosen
Jabrayil is a town in southwestern Azerbaijan that became a key strategic location and symbol of territorial gains during the 2020 Nagorno-Karabakh war.
-
B.
Serdivan
Serdivan is a rapidly developing district and suburban area of the city of Sakarya in northwestern Turkey, known for its residential neighborhoods, university presence, and growing commercial centers.
-
C.
Нор-Баязет
Нор-Баязет — это историческое название армянского города Гавар, расположенного в Гегаркуникской области у озера Севан.
-
D.
Izium
Izium is a strategically important city in eastern Ukraine’s Kharkiv Oblast that became a major battleground and logistics hub during the 2022 Russian invasion.
-
E.
Balakan
Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183396a708190b53a589f6ac2c5bc |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf373f548190abfc93aa238b97fd |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.