Triple
T582086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qırmızı Qəsəbə |
E15079
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Quba region |
E44818
|
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: Quba region | Statement: [Qırmızı Qəsəbə, partOf, Quba region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quba region Context triple: [Qırmızı Qəsəbə, partOf, Quba region]
-
A.
Quba region of Azerbaijan
chosen
The Quba region of Azerbaijan is a historically significant area in the country’s northeast, known for its diverse ethnic communities, including the Mountain Jews associated with the Judeo-Tat heritage.
-
B.
Sulaymaniyah
Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
-
C.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
D.
Khorasan
Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
-
E.
Zhob
Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b84899881909d5b2b4e67e22d9b |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e23bce481908404040b848ba9c1 |
completed | March 2, 2026, 4:12 a.m. |
Created at: March 1, 2026, 7:33 p.m.