Triple
T1855014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamal Airlines |
E41681
|
entity |
| Predicate | focusCity |
P164
|
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, focusCity, Salekhard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salekhard Context triple: [Yamal Airlines, focusCity, 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.
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.
-
C.
Luts’k
Luts’k is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and for its well-preserved medieval castle.
-
D.
Tyumen
Tyumen is a historic city in western Siberia, Russia, known as an early Russian settlement in Siberia and now a major industrial and administrative center.
-
E.
Krasnoyarsk
Krasnoyarsk is a large industrial and cultural city in central Russia, situated on the Yenisei River and known as one of the key urban centers of Siberia.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07d48c48190bcd34d6093ff5e78 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebefcac108190a60448f545c89a26 |
completed | March 9, 2026, 12:37 p.m. |
Created at: March 4, 2026, 7:33 p.m.