Triple
T21984949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gora Belukha |
E542932
|
entity |
| Predicate | nearestMajorSettlement |
P1982
|
FINISHED |
| Object | Tyungur |
—
|
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: Tyungur | Statement: [Gora Belukha, nearestMajorSettlement, Tyungur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyungur Context triple: [Gora Belukha, nearestMajorSettlement, Tyungur]
-
A.
Tyungur
chosen
Tyungur is a small rural village in Russia’s Altai Republic that serves as a common gateway and base for expeditions to the nearby Belukha Mountain.
-
B.
Tunuyán
Tunuyán is a city in Mendoza Province, Argentina, known for its wine-producing region in the Uco Valley at the foothills of the Andes.
-
C.
Akhulgo
Akhulgo was a heavily fortified mountain stronghold in Dagestan that served as Imam Shamil’s key base during the Murid War against the Russian Empire.
-
D.
Geokchay
Geokchay is a town in present-day Azerbaijan that historically served as an administrative center in the Russian Empire’s Caucasus region.
-
E.
Yuryung-Khaya
Yuryung-Khaya is a remote rural settlement in the Arctic region of northern Russia, located near the mouth of the Anabar River in the Sakha Republic.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708cdcc81909511d9f81bd8f20e |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.