Triple
T8368125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urzhum |
E197384
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Уржум (Russian) |
E197384
|
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: Уржум (Russian) | Statement: [Urzhum, hasNameInLanguage, Уржум (Russian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Уржум (Russian) Context triple: [Urzhum, hasNameInLanguage, Уржум (Russian)]
-
A.
Uryzmag
Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
-
B.
Urzhum
chosen
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
-
C.
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
-
D.
Kasimov
Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
-
E.
Kamyshlov
Kamyshlov is a small historic town in Russia’s Ural region, known for its traditional wooden architecture and role as a local administrative and cultural center.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808e56fc81908b5d37482f29452d |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc7929e388190b35505378d0cf653 |
completed | April 2, 2026, 1:34 a.m. |
Created at: March 30, 2026, 6:01 p.m.