Triple
T19999507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Adamov |
E494279
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kislovodsk |
—
|
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: Kislovodsk | Statement: [Arthur Adamov, placeOfBirth, Kislovodsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kislovodsk Context triple: [Arthur Adamov, placeOfBirth, Kislovodsk]
-
A.
Kislovodsk
chosen
Kislovodsk is a Russian spa and resort city in the North Caucasus, renowned for its mineral springs and mountainous surroundings.
-
B.
Krasnovodsk
Krasnovodsk, now known as Türkmenbaşy, is a key port city on the eastern shore of the Caspian Sea in western Turkmenistan.
-
C.
Kizlyar
Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
-
D.
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.
-
E.
Nalchik
Nalchik is the capital city of Russia’s Kabardino-Balkaria Republic in the North Caucasus, known for its diverse ethnic communities and role as a regional cultural and administrative center.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a09bdc819083305b08a11c6e34 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.