Triple
T8741904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamal Airlines |
E207523
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Salekhard |
E261270
|
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: Salekhard | Statement: [Yamal Airlines, headquartersLocation, Salekhard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salekhard Context triple: [Yamal Airlines, headquartersLocation, Salekhard]
-
A.
Salekhard
chosen
Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
-
B.
Apatity
Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
-
C.
Norilsk
Norilsk is a remote industrial city in northern Siberia, Russia, known for its massive nickel and palladium mining operations, extreme Arctic climate, and severe environmental pollution.
-
D.
Angarsk
Angarsk is a major industrial city in southeastern Siberia, Russia, known for its petrochemical and nuclear-related facilities.
-
E.
Yakutsk
Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d6fd5dc8190906b7147f27c5d46 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b3a8a248190aa32981bdcbe570d |
completed | April 4, 2026, 5:01 a.m. |
Created at: March 30, 2026, 6:38 p.m.