Triple
T21182341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baksan Urban Okrug |
E521982
|
entity |
| Predicate | encompasses |
P1393
|
FINISHED |
| Object | town of Baksan |
—
|
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: town of Baksan | Statement: [Baksan Urban Okrug, encompasses, town of Baksan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Baksan Context triple: [Baksan Urban Okrug, encompasses, town of Baksan]
-
A.
Baksan settlement
chosen
Baksan settlement is a small populated area in Russia’s Kabardino-Balkaria region, situated in the North Caucasus near Mount Elbrus.
-
B.
Kapustin Yar
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
-
C.
Bayanbulak region
The Bayanbulak region is a remote high-altitude grassland area in Xinjiang, China, known for its vast steppe landscapes, wetlands, and surrounding historical and cultural sites.
-
D.
Buinaksk area
The Buinaksk area is a region in the Republic of Dagestan, Russia, known as one of the traditional settlement areas of the Kumyk people.
-
E.
Bataysk
Bataysk is a city in southwestern Russia known as a satellite and transport hub of the nearby regional center, Rostov-on-Don.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301eb3248190b9f6fc1586651fec |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:04 p.m.