Triple
T6670979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udmurtia |
E151727
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sarapul |
E314407
|
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: Sarapul | Statement: [Udmurtia, hasCity, Sarapul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarapul Context triple: [Udmurtia, hasCity, Sarapul]
-
A.
Sarapul
chosen
Sarapul is a historic city in Russia’s Udmurt Republic, known as a regional industrial and transport center on the eastern edge of European Russia.
-
B.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
C.
Kudrovo
Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
-
D.
Kirzhach
Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
-
E.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c9163c8190ad959172a8458619 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef12fcfc819086b37dc9b9929663 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:03 p.m.