Triple
T6670978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udmurtia |
E151727
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Votkinsk |
E302516
|
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: Votkinsk | Statement: [Udmurtia, hasCity, Votkinsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Votkinsk Context triple: [Udmurtia, hasCity, Votkinsk]
-
A.
Votkinsk
chosen
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
B.
Kovrov
Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
-
C.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
-
D.
Kirovsk
Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
-
E.
Kirovsk
Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
- 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_69c7942437bc8190808e60d12b98dcf5 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:03 p.m.