Triple
T21456141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yevlakh District |
E529343
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | city of Yevlakh |
—
|
NE NERFINISHED |
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: city of Yevlakh | Statement: [Yevlakh District, contains, city of Yevlakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Yevlakh Context triple: [Yevlakh District, contains, city of Yevlakh]
-
A.
Yevlakh
chosen
Yevlakh is a city in central Azerbaijan that serves as an important regional transport and agricultural hub.
-
B.
city of Gavrilov-Yam
The city of Gavrilov-Yam is a small industrial and cultural center in central Russia, known historically for its textile and yarn production.
-
C.
Shirvan city
Shirvan city is an urban center in Azerbaijan located in the central lowland region along the Kura River, known for its role in regional industry and transportation.
-
D.
city of Tutaev
The city of Tutaev is a historic town on the Volga River in central Russia, known for its preserved old architecture and role as a cultural center within Yaroslavl Oblast.
-
E.
city of Chirchiq
The city of Chirchiq is an industrial and agricultural center in eastern Uzbekistan, located near Tashkent and known for its hydroelectric power production and chemical industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d6da3c819082a495f5434c5554 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.