Triple
T19834474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nalchik Airport |
E476551
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nalchik |
—
|
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: Nalchik | Statement: [Nalchik Airport, locatedIn, Nalchik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nalchik Context triple: [Nalchik Airport, locatedIn, Nalchik]
-
A.
Nalchik
chosen
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.
-
B.
Zlatoust
Zlatoust is an industrial city in Russia’s Chelyabinsk Oblast, located in the Ural Mountains and known historically for its metalworking and weapon production.
-
C.
Akhtubinsk
Akhtubinsk is a town in southern Russia known for its location on the Volga River and its role as a regional transport and economic center.
-
D.
Barnaul
Barnaul is a significant industrial and cultural city in southwestern Siberia, Russia, located near the Ob River and serving as a key regional center.
-
E.
Volokolamsk
Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d0347c8190b586c7fe01b61e97 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.